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Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  
the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
Livio	
  De	
  Luca	
  
CNRS-­‐MAP,	
  France
This	
  project	
  has	
  been	
  funded	
  with	
  support	
  from	
  the	
  European	
  Commission‘s	
  CIP	
  ICT	
  PSP	
  programme
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
q 4.1	
  DigiNsaNon	
  (post-­‐processing)	
  execuNon	
  (MAP)

q 4.2	
  Metadata	
  creaNon	
  (CISA)

q 4.3	
  DigiNsaNon	
  (post-­‐processing)	
  monitoring	
  and	
  control	
  (CISA)
Objec&ve
General	
  Tasks
execute	
  the	
  digiNsaNon	
  in	
  a	
  smooth	
  and	
  secure	
  way,	
  
according	
  to	
  the	
  digiNsaNon	
  plan	
  defined	
  in	
  WP2	
  	
  
WP4	
  tasks
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
What	
  is	
  (3D)	
  post	
  processing	
  ?
2D	
  post-­‐processing
sampling,	
  filtering
2D	
  DigiNsaNon
Final	
  output
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
What	
  is	
  (3D)	
  post	
  processing	
  ?
2D	
  post-­‐processing 3D	
  post-­‐processing
Sampling,	
  filtering
Geometry	
  reconstrucNon
Model	
  structuring
Visual	
  enrichment
sampling,	
  filtering
2D	
  DigiNsaNon
Final	
  output
WorkPackage	
  4	
  -­‐	
  Post	
  processing
3D	
  DigiNsaNon
Final	
  output
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
q TECHNIQUES	
  
q AutomaNc	
  meshing	
  from	
  a	
  dense	
  3D	
  point	
  cloud	
  	
  
q InteracNve	
  or	
  semi-­‐automaNc	
  reconstrucNon	
  based	
  on	
  relevant	
  
profiles	
  	
  
q InteracNve	
  or	
  semi-­‐automaNc	
  reconstrucNon	
  based	
  on	
  primiNves	
  
adjustment	
  	
  
q InteracNve	
  reconstrucNon	
  based	
  on	
  technical	
  iconography	
  (plans,	
  
cross-­‐secNons	
  and	
  elevaNons)	
  	
  
q InteracNve	
  reconstrucNon	
  based	
  on	
  arNsNc	
  iconography	
  (sketches,	
  
painNngs,	
  etc.)	
  
q SOURCE	
  3D	
  MODEL	
  FORMAT	
  
q ply,	
  Obj,	
  3DsMAX,	
  Maya,	
  …	
  	
  
q FINAL	
  3D	
  MODEL	
  FORMAT	
  (for	
  3D	
  real-­‐&me	
  rendering)	
  
q Collada	
  ,	
  Obj,	
  Ply,	
  …
Post	
  processing	
  execution
Geometric	
  reconstrucNon
ClassificaNon	
  of	
  post	
  processing	
  techniques	
  et	
  methodologies
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
q METHODOLOGY	
  
q Unstructured	
  (point	
  clouds,	
  simple	
  mesh,	
  ...)	
  
q Decomposed	
  in	
  elementary	
  enNNes	
  
q Decomposed	
  in	
  elementary	
  enNNes	
  hierarchically	
  organized	
  

(	
  e.g.	
  architectural	
  layouts)	
  
q Decomposed	
  in	
  enNNes	
  organized	
  in	
  classes	
  (e.g.	
  materials,	
  
temporal	
  states,	
  etc.)	
  
q DATASET	
  STRUCTURE	
  
q 3D	
  GEOMETRY	
  
q Single	
  3D	
  file	
  structured	
  (1	
  LOD)	
  
q MulNple	
  independent	
  3D	
  files	
  (1	
  LOD)	
  
q MulNple	
  independent	
  3D	
  files	
  (mulNple	
  LODs)	
  
q TEXTURES	
  
q Embedded	
  into	
  the	
  3D	
  geometry	
  file	
  
q External	
  2D	
  images
Model	
  structuring
ClassificaNon	
  of	
  post	
  processing	
  techniques	
  et	
  methodologies
Post	
  processing	
  execution
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
q TECHNIQUES	
  
q Texture	
  extracNon	
  and	
  projecNon	
  starNng	
  from	
  photographs	
  
finely	
  oriented	
  on	
  the	
  3D	
  model	
  (e.g.	
  image-­‐based	
  modeling,	
  
photogrammetry)	
  	
  
q Texturing	
  by	
  photographic	
  samples	
  of	
  the	
  real	
  materials	
  of	
  the	
  
arNfact	
  	
  
q Texturing	
  by	
  generic	
  shaders.	
  	
  
q SOURCE	
  2D	
  IMAGES	
  FORMAT	
  
q TIFF,	
  BMP,	
  TGA,	
  …	
  
q FINAL	
  2D	
  IMAGES	
  FORMAT	
  (for	
  3D	
  real-­‐&me	
  rendering)	
  
q JPG,	
  PNG,	
  …
Visual	
  enrichment
ClassificaNon	
  of	
  post	
  processing	
  techniques	
  et	
  methodologies
Post	
  processing	
  execution
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
q HYPOTHETICAL	
  RECONSTRUCTION	
  	
  
q METHODOLOGIES	
  
q Basing	
  on	
  the	
  3D	
  acquisiNon	
  of	
  exisNng	
  (or	
  existed)	
  parts;	
  
q Basing	
  on	
  previous	
  2D	
  surveys	
  of	
  exisNng	
  (or	
  existed)	
  parts;	
  
q Basing	
  on	
  non-­‐metric	
  iconographic	
  sources	
  of	
  the	
  studied	
  arNfact;	
  
q Basing	
  on	
  iconographic	
  sources	
  (metric	
  and	
  /	
  or	
  non-­‐metric)	
  related	
  
to	
  similar	
  arNfacts;	
  
q SCIENTIFIC	
  (Historic)	
  ADVISING	
  
q ScienNfic	
  Commicee	
  	
  
q Bibliographic	
  references	
  
HypotheNcal	
  reconstrucNon
ClassificaNon	
  of	
  post	
  processing	
  techniques	
  et	
  methodologies
Post	
  processing	
  execution
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
q TYPE	
  OF	
  MEDIA	
  
q StaNc	
  image	
  (e.g.	
  renderings)	
  
q Animated	
  images	
  (e.g.	
  videotours)	
  
q InteracNve	
  Image	
  (e.g.	
  panoramic	
  imaging)	
  	
  
q FORMAT	
  
q Image	
  :	
  	
  
q source	
  file	
  :	
  TIFF,	
  TGA,…	
  
q final	
  output	
  :	
  JPG,	
  PNG,	
  …	
  
q Video	
  :	
  	
  
q source	
  file	
  :	
  MOV,	
  AVI,	
  …	
  
q final	
  output	
  :	
  MPEG4,	
  etc...	
  	
  
q Panorama	
  :	
  	
  
q source	
  file	
  :	
  TIF,	
  JPG,	
  ...	
  
q final	
  output	
  :	
  QuickTime	
  MOV,	
  Flash,	
  ...	
  	
  
Complementary	
  2D	
  media	
  (images,	
  videos,	
  VR	
  scenes,..)
ClassificaNon	
  of	
  post	
  processing	
  techniques	
  et	
  methodologies
Post	
  processing	
  execution
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
Cerveteri	
  and	
  Tarquinia	
  Tombs	
  (FBK)	
  
Centre	
  Pompidou	
  in	
  Paris	
  (CNRS)	
  
Roman	
  archaeological	
  finds	
  (POLIMI)	
  	
  
Treasury	
  of	
  Marseille	
  in	
  Delphi	
  (CNRS)
Analysis	
  of	
  4	
  case	
  studies
ClassificaNon	
  of	
  post	
  processing	
  techniques	
  et	
  methodologies
Post	
  processing	
  execution
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Livio	
  De	
  Luca,	
  MAP	
  Laboratory	
  (UMR	
  3495	
  CNRS/MCC)	
  _	
  FR	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  hcp://www.map.archi.fr
A	
  -­‐	
  GEOMETRIC	
  RECONSTRUCTION
A1 Automa&c	
  meshing	
  from	
  a	
  dense	
  3D	
  point	
  cloud
A2 InteracNve	
  or	
  semi-­‐automaNc	
  reconstrucNon	
  based	
  on	
  relevant	
  profiles
A3 InteracNve	
  or	
  semi-­‐automaNc	
  reconstrucNon	
  based	
  on	
  primiNves	
  adjustment
A4 InteracNve	
  reconstrucNon	
  based	
  on	
  technical	
  iconography	
  (plans,	
  cross-­‐secNons	
  and	
  
elevaNons)
A5 InteracNve	
  reconstrucNon	
  based	
  on	
  arNsNc	
  iconography	
  (sketches,	
  painNngs,	
  etc.)
B	
  -­‐	
  MODEL	
  STRUCTURING	
  
B1 Unstructured	
  (point	
  clouds,	
  simple	
  mesh,	
  ...)
B2 Decomposed	
  in	
  elementary	
  enNNes
B3 Decomposed	
  in	
  elementary	
  enNNes	
  hierarchically	
  organized	
  

(	
  e.g.	
  architectural	
  layouts)
B4 Decomposed	
  in	
  enNNes	
  organized	
  in	
  classes	
  (e.g.	
  materials,	
  temporal	
  states,	
  etc.)
C	
  -­‐	
  DATASET	
  STRUCTURE	
  (Geometry)	
  
C1	
   Single	
  3D	
  file	
  structured	
  (1	
  LOD)
C2 MulNple	
  independent	
  3D	
  files	
  (1	
  LOD)
C3 MulNple	
  independent	
  3D	
  files	
  (mulNple	
  LODs)
D	
  -­‐	
  DATASET	
  STRUCTURE	
  (Textures)	
  
D1 Embedded	
  into	
  the	
  3D	
  geometry	
  file
D2 External	
  2D	
  images
E	
  -­‐	
  VISUAL	
  ENRICHMENT	
  	
  
E1 Texture	
  extrac&on	
  and	
  projec&on	
  star&ng	
  from	
  photographs	
  finely	
  oriented	
  on	
  the	
  3D	
  
model	
  (e.g.	
  image-­‐based	
  modeling,	
  photogrammetry)
E2 Texturing	
  by	
  photographic	
  samples	
  of	
  the	
  real	
  materials	
  of	
  the	
  arNfact	
  	
  
E3 Texturing	
  by	
  generic	
  shaders.
F	
  -­‐	
  HYPOTHETICAL	
  RECONSTRUCTION	
  	
  
F1	
   Basing	
  on	
  the	
  3D	
  acquisiNon	
  of	
  exisNng	
  (or	
  existed)	
  parts;
F2 Basing	
  on	
  previous	
  2D	
  surveys	
  of	
  exisNng	
  (or	
  existed)	
  parts;
F3 Basing	
  on	
  non-­‐metric	
  iconographic	
  sources	
  of	
  the	
  studied	
  arNfact;
F4 Basing	
  on	
  iconographic	
  sources	
  (metric	
  and	
  /	
  or	
  non-­‐metric)	
  related	
  to	
  similar	
  arNfacts;
G	
  -­‐	
  SCIENTIFIC	
  (Historic)	
  ADVISING
G1 ScienNfic	
  Commicee	
  	
  
G2 Bibliographic	
  references	
  
Case	
  study	
  1	
  
Cerveteri	
  and	
  Tarquinia	
  Tombs	
  (FBK)	
  
Livio	
  De	
  Luca,	
  MAP	
  Laboratory	
  (UMR	
  3495	
  CNRS/MCC)	
  _	
  FR	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  hcp://www.map.archi.fr
A	
  -­‐	
  GEOMETRIC	
  RECONSTRUCTION
A1 AutomaNc	
  meshing	
  from	
  a	
  dense	
  3D	
  point	
  cloud
A2 Interac&ve	
  or	
  semi-­‐automa&c	
  reconstruc&on	
  based	
  on	
  relevant	
  profiles
A3 InteracNve	
  or	
  semi-­‐automaNc	
  reconstrucNon	
  based	
  on	
  primiNves	
  adjustment
A4 Interac&ve	
  reconstruc&on	
  based	
  on	
  technical	
  iconography	
  (plans,	
  cross-­‐sec&ons	
  and	
  
eleva&ons)
A5 InteracNve	
  reconstrucNon	
  based	
  on	
  arNsNc	
  iconography	
  (sketches,	
  painNngs,	
  etc.)
B	
  -­‐	
  MODEL	
  STRUCTURING	
  
B1 Unstructured	
  (point	
  clouds,	
  simple	
  mesh,	
  ...)
B2 Decomposed	
  in	
  elementary	
  enNNes
B3 Decomposed	
  in	
  elementary	
  enNNes	
  hierarchically	
  organized	
  

(	
  e.g.	
  architectural	
  layouts)
B4 Decomposed	
  in	
  en&&es	
  organized	
  in	
  classes	
  (e.g.	
  materials,	
  temporal	
  states,	
  etc.)
C	
  -­‐	
  DATASET	
  STRUCTURE	
  (Geometry)	
  
C1	
   Single	
  3D	
  file	
  structured	
  (1	
  LOD)
C2 MulNple	
  independent	
  3D	
  files	
  (1	
  LOD)
C3 Mul&ple	
  independent	
  3D	
  files	
  (mul&ple	
  LODs)
D	
  -­‐	
  DATASET	
  STRUCTURE	
  (Textures)	
  
D1 Embedded	
  into	
  the	
  3D	
  geometry	
  file
D2 External	
  2D	
  images
E	
  -­‐	
  VISUAL	
  ENRICHMENT	
  	
  
E1 Texture	
  extracNon	
  and	
  projecNon	
  starNng	
  from	
  photographs	
  finely	
  oriented	
  on	
  the	
  3D	
  
model	
  (e.g.	
  image-­‐based	
  modeling,	
  photogrammetry)
E2 Texturing	
  by	
  photographic	
  samples	
  of	
  the	
  real	
  materials	
  of	
  the	
  ar&fact	
  	
  
E3 Texturing	
  by	
  generic	
  shaders.
F	
  -­‐	
  HYPOTHETICAL	
  RECONSTRUCTION	
  	
  
F1	
   Basing	
  on	
  the	
  3D	
  acquisiNon	
  of	
  exisNng	
  (or	
  existed)	
  parts;
F2 Basing	
  on	
  previous	
  2D	
  surveys	
  of	
  exisNng	
  (or	
  existed)	
  parts;
F3 Basing	
  on	
  non-­‐metric	
  iconographic	
  sources	
  of	
  the	
  studied	
  arNfact;
F4 Basing	
  on	
  iconographic	
  sources	
  (metric	
  and	
  /	
  or	
  non-­‐metric)	
  related	
  to	
  similar	
  arNfacts;
G	
  -­‐	
  SCIENTIFIC	
  (Historic)	
  ADVISING
G1 ScienNfic	
  Commicee	
  	
  
G2 Bibliographic	
  references	
  
Case	
  study	
  2	
  
Centre	
  Pompidou	
  in	
  Paris	
  (CNRS)	
  
Livio	
  De	
  Luca,	
  MAP	
  Laboratory	
  (UMR	
  3495	
  CNRS/MCC)	
  _	
  FR	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  hcp://www.map.archi.fr
A	
  -­‐	
  GEOMETRIC	
  RECONSTRUCTION
A1 Automa&c	
  meshing	
  from	
  a	
  dense	
  3D	
  point	
  cloud
A2 InteracNve	
  or	
  semi-­‐automaNc	
  reconstrucNon	
  based	
  on	
  relevant	
  profiles
A3 InteracNve	
  or	
  semi-­‐automaNc	
  reconstrucNon	
  based	
  on	
  primiNves	
  adjustment
A4 InteracNve	
  reconstrucNon	
  based	
  on	
  technical	
  iconography	
  (plans,	
  cross-­‐secNons	
  and	
  
elevaNons)
A5 InteracNve	
  reconstrucNon	
  based	
  on	
  arNsNc	
  iconography	
  (sketches,	
  painNngs,	
  etc.)
B	
  -­‐	
  MODEL	
  STRUCTURING	
  
B1 Unstructured	
  (point	
  clouds,	
  simple	
  mesh,	
  ...)
B2 Decomposed	
  in	
  elementary	
  enNNes
B3 Decomposed	
  in	
  elementary	
  enNNes	
  hierarchically	
  organized	
  

(	
  e.g.	
  architectural	
  layouts)
B4 Decomposed	
  in	
  enNNes	
  organized	
  in	
  classes	
  (e.g.	
  materials,	
  temporal	
  states,	
  etc.)
C	
  -­‐	
  DATASET	
  STRUCTURE	
  (Geometry)	
  
C1	
   Single	
  3D	
  file	
  structured	
  (1	
  LOD)
C2 MulNple	
  independent	
  3D	
  files	
  (1	
  LOD)
C3 MulNple	
  independent	
  3D	
  files	
  (mulNple	
  LODs)
D	
  -­‐	
  DATASET	
  STRUCTURE	
  (Textures)	
  
D1 Embedded	
  into	
  the	
  3D	
  geometry	
  file
D2 External	
  2D	
  images
E	
  -­‐	
  VISUAL	
  ENRICHMENT	
  	
  
E1 Texture	
  extrac&on	
  and	
  projec&on	
  star&ng	
  from	
  photographs	
  finely	
  oriented	
  on	
  the	
  3D	
  
model	
  (e.g.	
  image-­‐based	
  modeling,	
  photogrammetry)
E2 Texturing	
  by	
  photographic	
  samples	
  of	
  the	
  real	
  materials	
  of	
  the	
  arNfact	
  	
  
E3 Texturing	
  by	
  generic	
  shaders.
F	
  -­‐	
  HYPOTHETICAL	
  RECONSTRUCTION	
  	
  
F1	
   Basing	
  on	
  the	
  3D	
  acquisiNon	
  of	
  exisNng	
  (or	
  existed)	
  parts;
F2 Basing	
  on	
  previous	
  2D	
  surveys	
  of	
  exisNng	
  (or	
  existed)	
  parts;
F3 Basing	
  on	
  non-­‐metric	
  iconographic	
  sources	
  of	
  the	
  studied	
  arNfact;
F4 Basing	
  on	
  iconographic	
  sources	
  (metric	
  and	
  /	
  or	
  non-­‐metric)	
  related	
  to	
  similar	
  arNfacts;
G	
  -­‐	
  SCIENTIFIC	
  (Historic)	
  ADVISING
G1 Scien&fic	
  CommiYee	
  	
  
G2 Bibliographic	
  references	
  
Case	
  study	
  3	
  
Roman	
  archaeological	
  finds	
  (POLIMI)	
  
Livio	
  De	
  Luca,	
  MAP	
  Laboratory	
  (UMR	
  3495	
  CNRS/MCC)	
  _	
  FR	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  hcp://www.map.archi.fr
A	
  -­‐	
  GEOMETRIC	
  RECONSTRUCTION
A1 Automa&c	
  meshing	
  from	
  a	
  dense	
  3D	
  point	
  cloud
A2 Interac&ve	
  or	
  semi-­‐automa&c	
  reconstruc&on	
  based	
  on	
  relevant	
  profiles
A3 InteracNve	
  or	
  semi-­‐automaNc	
  reconstrucNon	
  based	
  on	
  primiNves	
  adjustment
A4 InteracNve	
  reconstrucNon	
  based	
  on	
  technical	
  iconography	
  (plans,	
  cross-­‐secNons	
  and	
  
elevaNons)
A5 InteracNve	
  reconstrucNon	
  based	
  on	
  arNsNc	
  iconography	
  (sketches,	
  painNngs,	
  etc.)
B	
  -­‐	
  MODEL	
  STRUCTURING	
  
B1 Unstructured	
  (point	
  clouds,	
  simple	
  mesh,	
  ...)
B2 Decomposed	
  in	
  elementary	
  en&&es
B3 Decomposed	
  in	
  elementary	
  enNNes	
  hierarchically	
  organized	
  

(	
  e.g.	
  architectural	
  layouts)
B4 Decomposed	
  in	
  enNNes	
  organized	
  in	
  classes	
  (e.g.	
  materials,	
  temporal	
  states,	
  etc.)
C	
  -­‐	
  DATASET	
  STRUCTURE	
  (Geometry)	
  
C1	
   Single	
  3D	
  file	
  structured	
  (1	
  LOD)
C2 MulNple	
  independent	
  3D	
  files	
  (1	
  LOD)
C3 MulNple	
  independent	
  3D	
  files	
  (mulNple	
  LODs)
D	
  -­‐	
  DATASET	
  STRUCTURE	
  (Textures)	
  
D1 Embedded	
  into	
  the	
  3D	
  geometry	
  file
D2 External	
  2D	
  images
E	
  -­‐	
  VISUAL	
  ENRICHMENT	
  	
  
E1 Texture	
  extrac&on	
  and	
  projec&on	
  star&ng	
  from	
  photographs	
  finely	
  oriented	
  on	
  the	
  3D	
  
model	
  (e.g.	
  image-­‐based	
  modeling,	
  photogrammetry)
E2 Texturing	
  by	
  photographic	
  samples	
  of	
  the	
  real	
  materials	
  of	
  the	
  arNfact	
  	
  
E3 Texturing	
  by	
  generic	
  shaders.
F	
  -­‐	
  HYPOTHETICAL	
  RECONSTRUCTION	
  	
  
F1	
   Basing	
  on	
  the	
  3D	
  acquisi&on	
  of	
  exis&ng	
  (or	
  existed)	
  parts;
F2 Basing	
  on	
  previous	
  2D	
  surveys	
  of	
  exisNng	
  (or	
  existed)	
  parts;
F3 Basing	
  on	
  non-­‐metric	
  iconographic	
  sources	
  of	
  the	
  studied	
  ar&fact;
F4 Basing	
  on	
  iconographic	
  sources	
  (metric	
  and	
  /	
  or	
  non-­‐metric)	
  related	
  to	
  similar	
  ar&facts;
G	
  -­‐	
  SCIENTIFIC	
  (Historic)	
  ADVISING
G1 Scien&fic	
  CommiYee	
  	
  
G2 Bibliographic	
  references	
  
Case	
  study	
  4	
  
Treasury	
  of	
  Marseille	
  in	
  Delphi	
  (CNRS)	
  
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
q TYPE	
  1	
  
q Dense	
  point	
  cloud	
  +	
  regular	
  mesh	
  +	
  vertex	
  coloring	
  
q automaNc	
  processing	
  +	
  opNmizaNon	
  
q unstructured	
  	
  
q final	
  model	
  managed	
  in	
  :	
  Meshlab,	
  RapidForm,	
  ....	
  
q TYPE	
  2	
  
q Sparse	
  point	
  cloud	
  +	
  structured	
  geometry	
  +	
  texture	
  mapping	
  
q semi-­‐automaNc	
  and	
  manual	
  processing	
  
q structured	
  
q final	
  model	
  managed	
  in	
  3D	
  sokwares	
  (3D	
  studio,	
  Maya,	
  etc..)	
  
q TYPE	
  3	
  -­‐	
  integrated	
  techniques
Typical	
  post	
  processing	
  pipelines
}
}
}
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
q TYPE	
  1	
  
q Dense	
  point	
  cloud	
  +	
  regular	
  mesh	
  +	
  vertex	
  coloring	
  
q automaNc	
  processing	
  +	
  opNmizaNon	
  
q unstructured	
  	
  
q final	
  model	
  managed	
  in	
  :	
  Meshlab,	
  RapidForm,	
  ....	
  
q TYPE	
  2	
  
q Sparse	
  point	
  cloud	
  +	
  structured	
  geometry	
  +	
  texture	
  mapping	
  
q semi-­‐automaNc	
  and	
  manual	
  processing	
  
q structured	
  
q final	
  model	
  managed	
  in	
  3D	
  sokwares	
  (3D	
  studio,	
  Maya,	
  etc..)	
  
q TYPE	
  3	
  -­‐	
  integrated	
  techniques
Publica&on	
  formats	
  
WP	
  5
}
}
Typical	
  post	
  processing	
  pipelines
}
}
}
}
Towards	
  final	
  on-­‐line	
  publicaNon	
  formats
WorkPackage	
  4	
  -­‐	
  Post	
  processing
final	
  output

ready	
  to	
  be	
  converted
final	
  output

ready	
  to	
  be	
  converted
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
How	
  many	
  final	
  outputs	
  ?
DIGITISATION
WorkPackage	
  4	
  -­‐	
  Post	
  processing
FINAL	
  OUTPUT
The	
  case	
  of	
  Saint	
  Michel	
  de	
  Cuxa’s	
  cloister
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
How	
  many	
  final	
  outputs	
  ?
DIGITISATION
}POST	
  PROCESSING
3D digitization
Terrestrial photogrammetry
3D Laser scanning
1 Pointcloud - exterior
2 Pointcloud - interior
32 col Photographs - Details
43 col Photographs - Building parts
Aerial photogrammetry
1 Pointcloud - landscape
1 Orthophotography - landscape
32 Pointclouds - elements
14 Pointclouds - details
Post processing
3D modeling - current state
1 CAD-like 3D model - exterior
4 CAD-like 3D models - interior
46 Textured 3D models - details
1 3D Textured mode - exterior
4 3D textured models
1 Textured 3D model
3D modeling - hypothetical states
1 Textured 3D mode - 12th century
1 Textured 3D model - 11th century
1 Textured 3D mode - 10th century
1 Textured 3D model (interior/detail)
- 11th century
Complementary 2D media
3D model - current state
3D model - 12th century3D model - 11 th century
3D model - 10th century
4 images - 1 video
4 images - 1 video
2 images - 1 video
3 images - 1 video
1 video
50 images - detail
WorkPackage	
  4	
  -­‐	
  Post	
  processing
MULTIPLE	
  	
  DIGITAL	
  ASSETS
FINAL	
  OUTPUT
The	
  case	
  of	
  Saint	
  Michel	
  de	
  Cuxa’s	
  cloister
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
How	
  many	
  final	
  outputs	
  ?
3D digitization
Terrestrial photogrammetry
3D Laser scanning
1 Pointcloud - exterior
2 Pointcloud - interior
32 col Photographs - Details
43 col Photographs - Building parts
Aerial photogrammetry
1 Pointcloud - landscape
1 Orthophotography - landscape
32 Pointclouds - elements
14 Pointclouds - details
Post processing
3D modeling - current state
1 CAD-like 3D model - exterior
4 CAD-like 3D models - interior
46 Textured 3D models - details
1 3D Textured mode - exterior
4 3D textured models
1 Textured 3D model
3D modeling - hypothetical states
1 Textured 3D mode - 12th century
1 Textured 3D model - 11th century
1 Textured 3D mode - 10th century
1 Textured 3D model (interior/detail)
- 11th century
Complementary 2D media
3D model - current state
3D model - 12th century3D model - 11 th century
3D model - 10th century
4 images - 1 video
4 images - 1 video
2 images - 1 video
3 images - 1 video
1 video
50 images - detail
3D digitization
Terrestrial photogrammetry
3D Laser scanning
1 Pointcloud - exterior
2 Pointcloud - interior
32 col Photographs - Details
43 col Photographs - Building parts
Aerial photogrammetry
1 Pointcloud - landscape
1 Orthophotography - landscape
32 Pointclouds - elements
14 Pointclouds - details
Digi&sa&on
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Post	
  processing
The	
  case	
  of	
  Saint	
  Michel	
  de	
  Cuxa’s	
  cloister
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
How	
  many	
  final	
  outputs	
  ?
1 Orthophotography - landscape
14 Pointclouds - details
Post processing
3D modeling - current state
1 CAD-like 3D model - exterior
4 CAD-like 3D models - interior
46 Textured 3D models - details
1 3D Textured mode - exterior
4 3D textured models
1 Textured 3D model
3D modeling - hypothetical states
1 Textured 3D mode - 12th century
1 Textured 3D model - 11th century
1 Textured 3D mode - 10th century
3D digitization
Terrestrial photogrammetry
3D Laser scanning
1 Pointcloud - exterior
2 Pointcloud - interior
32 col Photographs - Details
43 col Photographs - Building parts
Aerial photogrammetry
1 Pointcloud - landscape
1 Orthophotography - landscape
32 Pointclouds - elements
14 Pointclouds - details
Post processing
3D modeling - current state
1 CAD-like 3D model - exterior
4 CAD-like 3D models - interior
46 Textured 3D models - details
1 3D Textured mode - exterior
4 3D textured models
1 Textured 3D model
3D modeling - hypothetical states
1 Textured 3D mode - 12th century
1 Textured 3D model - 11th century
1 Textured 3D mode - 10th century
1 Textured 3D model (interior/detail)
- 11th century
Complementary 2D media
3D model - current state
3D model - 12th century3D model - 11 th century
3D model - 10th century
4 images - 1 video
4 images - 1 video
2 images - 1 video
3 images - 1 video
1 video
50 images - detail
Post	
  processing
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Digi&sa&on
Complementary	
  2D	
  Media
The	
  case	
  of	
  Saint	
  Michel	
  de	
  Cuxa’s	
  cloister
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
How	
  many	
  final	
  outputs	
  ?1 Textured 3D model1 Textured 3D mode - 10th century
Complementary 2D media
3D model - current state
3D model - 12th century3D model - 11 th century
3D model - 10th century
4 images - 1 video
4 images - 1 video
2 images - 1 video
3 images - 1 video
1 video
50 images - detail
3D digitization
Terrestrial photogrammetry
3D Laser scanning
1 Pointcloud - exterior
2 Pointcloud - interior
32 col Photographs - Details
43 col Photographs - Building parts
Aerial photogrammetry
1 Pointcloud - landscape
1 Orthophotography - landscape
32 Pointclouds - elements
14 Pointclouds - details
Post processing
3D modeling - current state
1 CAD-like 3D model - exterior
4 CAD-like 3D models - interior
46 Textured 3D models - details
1 3D Textured mode - exterior
4 3D textured models
1 Textured 3D model
3D modeling - hypothetical states
1 Textured 3D mode - 12th century
1 Textured 3D model - 11th century
1 Textured 3D mode - 10th century
1 Textured 3D model (interior/detail)
- 11th century
Complementary 2D media
3D model - current state
3D model - 12th century3D model - 11 th century
3D model - 10th century
4 images - 1 video
4 images - 1 video
2 images - 1 video
3 images - 1 video
1 video
50 images - detail
Complementary	
  2D	
  media
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Post	
  processing
The	
  case	
  of	
  Saint	
  Michel	
  de	
  Cuxa’s	
  cloister
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
How	
  many	
  final	
  outputs	
  ?
3D digitization
Terrestrial photogrammetry
3D Laser scanning
1 Pointcloud - exterior
2 Pointcloud - interior
32 col Photographs - Details
43 col Photographs - Building parts
Aerial photogrammetry
1 Pointcloud - landscape
1 Orthophotography - landscape
32 Pointclouds - elements
14 Pointclouds - details
Post processing
3D modeling - current state
1 CAD-like 3D model - exterior
4 CAD-like 3D models - interior
46 Textured 3D models - details
1 3D Textured mode - exterior
4 3D textured models
1 Textured 3D model
3D modeling - hypothetical states
1 Textured 3D mode - 12th century
1 Textured 3D model - 11th century
1 Textured 3D mode - 10th century
Textured 3D model (interior/detail)
11th century
Complementary 2D media
3D model - current state
3D model - 12th century3D model - 11 th century
3D model - 10th century
4 images - 1 video
4 images - 1 video
2 images - 1 video
3 images - 1 video
1 video
50 images - detail
}
q 3D	
  Digi&sa&on	
  	
  
q Images	
  :	
  75	
  collecNons	
  (+	
  450	
  images)	
  	
  

+	
  1	
  orthophotography	
  	
  
q 3D	
  models	
  :	
  50	
  pointclouds	
  	
  
q Post	
  processing	
  
q Current	
  state	
  :	
  
q 5	
  cad-­‐like	
  3D	
  models	
  
q 52	
  textured	
  3D	
  models	
  
q HypotheNcal	
  states	
  :	
  	
  
q 4	
  textured	
  3D	
  models	
  
q Complementary	
  2D	
  media	
  (derived	
  from	
  3D	
  models)	
  
q 63	
  Images	
  (rendering)	
  
q 5	
  Video	
  animaNons

-­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  -­‐	
  	
  
q Total	
  
q 111	
  3D	
  Models	
  	
  
q 50	
  pointclouds	
  
q 	
  5	
  cad-­‐like	
  3D	
  models	
  
q 	
  56	
  textured	
  3D	
  models	
  
q 514	
  images	
  
q 	
  75	
  images	
  collecNons	
  (+	
  450	
  images)	
  
q 	
  64	
  images	
  (derived	
  from	
  the	
  3D	
  model)
WorkPackage	
  4	
  -­‐	
  Post	
  processing
The	
  case	
  of	
  Saint	
  Michel	
  de	
  Cuxa’s	
  cloister
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Metadata	
  creation
Linking	
  the	
  3D	
  processing	
  pipeline	
  to	
  the	
  metadata	
  creaNon
Versailles	
  
	
  	
  	
  	
  	
  	
  	
  Petit	
  Trianon	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Chambre	
  de	
  la	
  Reine
Sécrétaire	
  W1-­‐38-­‐1
Analysis	
  of	
  the	
  3D	
  reconstruction	
  methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project	
  Analysis	
  of	
  the	
  3D	
  reconstruction	
  
methodologies	
  used	
  within	
  the	
  framework	
  of	
  the	
  3D-­‐ICONS	
  project
WorkPackage	
  4	
  -­‐	
  Post	
  processing
Metadata	
  creation
Linking	
  the	
  3D	
  processing	
  pipeline	
  to	
  the	
  metadata	
  creaNon
Versailles	
  
	
  	
  	
  	
  	
  	
  	
  Petit	
  Trianon	
  
	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Chambre	
  de	
  la	
  Reine
Sécrétaire	
  W1-­‐38-­‐1
Digital	
  asset	
  

3D	
  Textured	
  PointCloud	
  
HD	
  version
Digital	
  asset	
  

3D	
  Textured	
  Model	
  
HD	
  and	
  LD	
  version
Digital	
  asset	
  

Video	
  animation
PHYSICAL

OBJECT
DIGITAL

ASSET
DIGITAL

ASSET
DIGITAL

ASSET
a
eventtype
eve
nttype eventty
pe
eventtype
eventtype
ACTIVITY
3D
M
odeling process
2D medias (derivedfrom
t
he3D
model)
Scientificandtechnicalsupport
Originofresource
Typeofsurvey/Dataacquisition
VRobjects)
documentationterminology
representation
hypot
hesis
figurativesearch
simolarproperties
(pass
ivesensor)
(activesensor)
GeodeticSections/Sketch-up
reconstruction
reco
nstruction
structuring
enrichment (e.g. renderings)
(e.g. videotours)
(e.g.panoramic,
specificappropriate
problemsofthe
reconst
ruction
research
stylisticand
analysiswith
Im
a
ge-based
Range-based
TopographicCAD/Maps
Realitybased
Hyp
othetical
Model
Visual Static images
Animated im
ages
Interactiveimages
ToprovideTosuggestan
Toidentifythe
Form
u
latea
Bibliographic
Iconographic,
Comparative
Libraryreference
collectionand
online
bibliographic
searchengine
Libraryreference
collectionand
onlinebibliographic
searchengine
Morphology,
typology,
materials,etc.
Historicalperiod,
architecturaltypology,
climatezone,etc.
Based
on
a
com
parative
analysisw
ith
sim
ilar
properties
ABC
Reporton
archaeological
work,static
anddynamic
analysis,etc.
DIGITIZATION
3D
M
ODELING RENDERI
NG
SCIENTIFICADVISING
DOCUMENTATION
ORGANIZATION
Country
Contacts
Name Sour
ce
Date
ACTOR
Actorty
pe
Actor
type
Team
(ororganisation)
Individual
Actor Name
Roles
PlaceofBirth
PlaceofDead
D
ateofBirth
DateofDead
DisplaydatePlaceofActivit
y
StaticImages
AnimatedImagesInteractiveImages
Consulte
dduringthe project
Created during the project
Photos
Sketch
CAD
MAPS
Raw
Consolidated
Interactive
Work3DModelSource3DModel
Web3D
M
od
el
Type of ressource
Documentary
Photos
2DDrawings
Pointclou
d
3DModel
Complementary
Doc
um
entary
DIGITAL
RESOURCES
Appelationname
Spa
tial
Description
HERITAGE
ASSET
HA
(Monument)
HA
(Part de)
HA
(Element)
Appelation name
Sp
atial
Description
ty
petyp
e ty
pety
pe
resources
2DMedia
res
ources
Appelationname
Sp
atial
DescriptionAppelationname
Sp
atial
Description
HA
(Furniture)
ACTIVITY
Appelation Name**
Event Type*
Has General Purpose
Actor
Has assisted
Is derived of
Had Specific Purpose
Start Date
End Date
Methods
Material
Software
4ème Campagne de relevé du mobilier des appartements du 1er etage du
Petit Trianon
Digitization
Numérisation photographique et laser du mobilier conservé en Angleterre
Lazare GRENIER, Noémie RENAUDIN
Novembre 2008
Novembre 2008
Image-based survey, Range-based survey
NIKON D300, Nikkor 18-70mm, Konica Minolta V-910
ACTOR
Actor Name **
Actor Type
Roles
Place of Birth
Place of Death
Place of Activity
Date of Birth
Date of Death
Display Dates
Noémie RENAUDIN
Individual
Assistante Ingenieur
Lazare GRENIER
Individual
Géomètre
ORGANIZATION
Organization Name **
Source *
Date *
Country *
Contacts Name *
Contacts Role
Contacts Organization
Contacts Address Building Name
Contacts Address Number In Road
Contacts Address Road Name
Contacts Address Town Or City
Contacts Address Postcode or
Zipcode
Contacts Address Locality
Contacts Address Admin Area
Contacts Address Country
Contacts Phone
Contacts Fax
Contacts Email
Contacts Description
UMR 3495 CNRS/MCC MAP
UMR 3495 CNRS/MCC MAP
13/02/2014
FRANCE
Livio DE LUCA
Ingénieur de Recherche au CNRS, HDR
UMR 3495 CNRS/MCC MAP
Campus CNRS Joseph Aiguier, Bât Z'
31
Chemin Joseph Aiguier
Marseille Cedex 20
13402
FRANCE
+33 (0)491164347
+33 (0)491164343
livio.deluca@map.archi.fr
Appelation Name**
Description**
Link (thumbnail)**
Object **
Is Shown at**
Copyright Credit Line**
Europeana Rights **
Access Rights (enum)
Reproduction Rights
Licence
Type*
Format* Details
Publisher
Place (publication)
Actor
Data_10.vvd
Nuage de point issu du relevé laser de la table
mécanique W1-38-1
UMR 3495 CNRS/MCC MAP
The Public Domain Mark (PDM)
Nuage de points
.vvd
Noémie RENAUDIN
DIGITAL RESSOURCE
Is
part of
W 1-38-1
Chambre de la Reine
Digitisation
24 photos
1
point-cloud
A1
PHYSICAL

OBJECT
DIGITAL

ASSET
DIGITAL	
  ASSET	
  -­‐	
  3D	
  POINT	
  CLOUD
a
eventtype
eve
nttype eventty
pe
eventtype
eventtype
ACTIVITY
3D
M
odeling process
2D medias (derivedfrom
t
he3D
model)
Scientificandtechnicalsupport
Originofresource
Typeofsurvey/Dataacquisition
VRobjects)
documentationterminology
representation
hypot
hesis
figurativesearch
simolarproperties
(pass
ivesensor)
(activesensor)
GeodeticSections/Sketch-up
reconstruction
reco
nstruction
structuring
enrichment (e.g. renderings)
(e.g. videotours)
(e.g.panoramic,
specificappropriate
problemsofthe
reconst
ruction
research
stylisticand
analysiswith
Im
a
ge-based
Range-based
TopographicCAD/Maps
Realitybased
Hyp
othetical
Model
Visual Static images
Animated im
ages
Interactiveimages
ToprovideTosuggestan
Toidentifythe
Form
u
latea
Bibliographic
Iconographic,
Comparative
Libraryreference
collectionand
online
bibliographic
searchengine
Libraryreference
collectionand
onlinebibliographic
searchengine
Morphology,
typology,
materials,etc.
Historicalperiod,
architecturaltypology,
climatezone,etc.
Based
on
a
com
parative
analysisw
ith
sim
ilar
properties
ABC
Reporton
archaeological
work,static
anddynamic
analysis,etc.
DIGITIZATION
3D
M
ODELING RENDERI
NG
SCIENTIFICADVISING
DOCUMENTATION
ORGANIZATION
Country
Contacts
Name Sour
ce
Date
ACTOR
Actorty
pe
Actor
type
Team
(ororganisation)
Individual
Actor Name
Roles
PlaceofBirth
PlaceofDead
D
ateofBirth
DateofDead
DisplaydatePlaceofActivit
y
StaticImages
AnimatedImagesInteractiveImages
Consulte
dduringthe project
Created during the project
Photos
Sketch
CAD
MAPS
Raw
Consolidated
Interactive
Work3DModelSource3DModel
Web3D
M
od
el
Type of ressource
Documentary
Photos
2DDrawings
Pointclou
d
3DModel
Complementary
Doc
um
entary
DIGITAL
RESOURCES
Appelationname
Spa
tial
Description
HERITAGE
ASSET
HA
(Monument)
HA
(Part de)
HA
(Element)
Appelation name
Sp
atial
Description
ty
petyp
e ty
pety
pe
resources
2DMedia
res
ources
Appelationname
Sp
atial
DescriptionAppelationname
Sp
atial
Description
HA
(Furniture)
ACTIVITY
Appelation Name**
Event Type*
Has General Purpose
Actor
Has assisted
Is derived of
Had Specific Purpose
Start Date
End Date
Methods
Material
Software
Modélisation 3D de la table mécanique W1-38-1
3D Modeling
Modélisation 3D de la table mécanique W1-38-1
Luca FORESI, Noémie RENAUDIN
Août 2009
Août 2009
Geometric Reconstruction, Visual Enrichment
Autodesk Image Modeler 4.0 ; Autodesk Maya 2008
ACTOR
Actor Name **
Actor Type
Roles
Place of Birth
Place of Death
Place of Activity
Date of Birth
Date of Death
Display Dates
Luca FORESI
Individual
Géomètre
ORGANIZATION
Organization Name **
Source *
Date *
Country *
Contacts Name *
Contacts Role
Contacts Organization
Contacts Address Building Name
Contacts Address Number In Road
Contacts Address Road Name
Contacts Address Town Or City
Contacts Address Postcode or
Zipcode
Contacts Address Locality
Contacts Address Admin Area
Contacts Address Country
Contacts Phone
Contacts Fax
Contacts Email
Contacts Description
UMR 3495 CNRS/MCC MAP
UMR 3495 CNRS/MCC MAP
13/02/2014
FRANCE
Livio DE LUCA
Ingénieur de Recherche au CNRS, HDR
UMR 3495 CNRS/MCC MAP
Campus CNRS Joseph Aiguier, Bât Z'
31
Chemin Joseph Aiguier
Marseille Cedex 20
13402
FRANCE
+33 (0)491164347
+33 (0)491164343
livio.deluca@map.archi.fr
Appelation Name**
Description**
Link (thumbnail)**
Object **
Is Shown at**
Copyright Credit Line**
Europeana Rights **
Access Rights (enum)
Reproduction Rights
Licence
Type*
Format* Details
Publisher
Place (publication)
Actor
W1-38-1.mb
Fichier Maya de reconstruction 3D de la table
mécanique W1-38-1
UMR 3495 CNRS/MCC MAP
The Public Domain Mark (PDM)
3D
.mb
Luca FORESI
DIGITAL RESSOURCE
Is
part of
Noémie RENAUDIN
Individual
Assistante Ingenieur
W 1-38-1
Chambre de la Reine
3D modeling
1 HD 3D Model (local)
1 LD 3D model (web)
A1
A2
PHYSICAL

OBJECT
DIGITAL

ASSET
DIGITAL	
  ASSET	
  -­‐	
  TEXTURED	
  3D	
  MODEL
a
eventtype
eve
nttype eventty
pe
eventtype
eventtype
ACTIVITY
3D
M
odeling process
2D medias (derivedfrom
t
he3D
model)
Scientificandtechnicalsupport
Originofresource
Typeofsurvey/Dataacquisition
VRobjects)
documentationterminology
representation
hypot
hesis
figurativesearch
simolarproperties
(pass
ivesensor)
(activesensor)
GeodeticSections/Sketch-up
reconstruction
reco
nstruction
structuring
enrichment (e.g. renderings)
(e.g. videotours)
(e.g.panoramic,
specificappropriate
problemsofthe
reconst
ruction
research
stylisticand
analysiswith
Im
a
ge-based
Range-based
TopographicCAD/Maps
Realitybased
Hyp
othetical
Model
Visual Static images
Animated im
ages
Interactiveimages
ToprovideTosuggestan
Toidentifythe
Form
u
latea
Bibliographic
Iconographic,
Comparative
Libraryreference
collectionand
online
bibliographic
searchengine
Libraryreference
collectionand
onlinebibliographic
searchengine
Morphology,
typology,
materials,etc.
Historicalperiod,
architecturaltypology,
climatezone,etc.
Based
on
a
com
parative
analysisw
ith
sim
ilar
properties
ABC
Reporton
archaeological
work,static
anddynamic
analysis,etc.
DIGITIZATION
3D
M
ODELING RENDERI
NG
SCIENTIFICADVISING
DOCUMENTATION
ORGANIZATION
Country
Contacts
Name Sour
ce
Date
ACTOR
Actorty
pe
Actor
type
Team
(ororganisation)
Individual
Actor Name
Roles
PlaceofBirth
PlaceofDead
D
ateofBirth
DateofDead
DisplaydatePlaceofActivit
y
StaticImages
AnimatedImagesInteractiveImages
Consulte
dduringthe project
Created during the project
Photos
Sketch
CAD
MAPS
Raw
Consolidated
Interactive
Work3DModelSource3DModel
Web3D
M
od
el
Type of ressource
Documentary
Photos
2DDrawings
Pointclou
d
3DModel
Complementary
Doc
um
entary
DIGITAL
RESOURCES
Appelationname
Spa
tial
Description
HERITAGE
ASSET
HA
(Monument)
HA
(Part de)
HA
(Element)
Appelation name
Sp
atial
Description
ty
petyp
e ty
pety
pe
resources
2DMedia
res
ources
Appelationname
Sp
atial
DescriptionAppelationname
Sp
atial
Description
HA
(Furniture)
ACTIVITY
Appelation Name**
Event Type*
Has General Purpose
Actor
Has assisted
Is derived of
Had Specific Purpose
Start Date
End Date
Methods
Material
Software
Création de médias 2D asscociés à la table mécanique W1-38-1
Rendering
Rendu Vidéo de la manipulation de la table mécanique W1-38-1
Luca FORESI, Noémie RENAUDIN
Août 2009
Août 2009
Animated Images
Autodesk Maya 2008
ACTOR
Actor Name **
Actor Type
Roles
Place of Birth
Place of Death
Place of Activity
Date of Birth
Date of Death
Display Dates
Luca FORESI
Individual
Géomètre
ORGANIZATION
Organization Name **
Source *
Date *
Country *
Contacts Name *
Contacts Role
Contacts Organization
Contacts Address Building Name
Contacts Address Number In Road
Contacts Address Road Name
Contacts Address Town Or City
Contacts Address Postcode or
Zipcode
Contacts Address Locality
Contacts Address Admin Area
Contacts Address Country
Contacts Phone
Contacts Fax
Contacts Email
Contacts Description
UMR 3495 CNRS/MCC MAP
UMR 3495 CNRS/MCC MAP
13/02/2014
FRANCE
Livio DE LUCA
Ingénieur de Recherche au CNRS, HDR
UMR 3495 CNRS/MCC MAP
Campus CNRS Joseph Aiguier, Bât Z'
31
Chemin Joseph Aiguier
Marseille Cedex 20
13402
FRANCE
+33 (0)491164347
+33 (0)491164343
livio.deluca@map.archi.fr
Appelation Name**
Description**
Link (thumbnail)**
Object **
Is Shown at**
Copyright Credit Line**
Europeana Rights **
Access Rights (enum)
Reproduction Rights
Licence
Type*
Format* Details
Publisher
Place (publication)
Actor
secretaire-7.mov
Vidéo de la manipulation de la table mécanique
W1-38-1
UMR 3495 CNRS/MCC MAP
The Public Domain Mark (PDM)
Vidéo
.mov
Noémie RENAUDIN
DIGITAL RESSOURCE
Is
part of
Noémie RENAUDIN
Individual
Assistante Ingenieur
W 1-38-1
Chambre de la Reine
Complementary 2D media (video)
1 video animationA1
A2 A3
1 HD 3D Model (local)
1 LD 3D model (web)
24
1
point-cloud
PHYSICAL

OBJECT
DIGITAL

ASSET
DIGITAL	
  ASSET	
  -­‐	
  VIDEO	
  ANIMATION
livio.deluca@map.archi.fr	
  
www.3Dicons-­‐project.eu	
  

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Analysis of the 3D reconstruction methodologies used within the framework of the 3D-ICONS project - Livio De Luca, CNRS, France

  • 1. 1 Analysis  of  the  3D  reconstruction   methodologies  used  within   the  framework  of  the  3D-­‐ICONS  project Livio  De  Luca   CNRS-­‐MAP,  France This  project  has  been  funded  with  support  from  the  European  Commission‘s  CIP  ICT  PSP  programme
  • 2. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project q 4.1  DigiNsaNon  (post-­‐processing)  execuNon  (MAP)
 q 4.2  Metadata  creaNon  (CISA)
 q 4.3  DigiNsaNon  (post-­‐processing)  monitoring  and  control  (CISA) Objec&ve General  Tasks execute  the  digiNsaNon  in  a  smooth  and  secure  way,   according  to  the  digiNsaNon  plan  defined  in  WP2     WP4  tasks WorkPackage  4  -­‐  Post  processing
  • 3. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project What  is  (3D)  post  processing  ? 2D  post-­‐processing sampling,  filtering 2D  DigiNsaNon Final  output WorkPackage  4  -­‐  Post  processing
  • 4. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project What  is  (3D)  post  processing  ? 2D  post-­‐processing 3D  post-­‐processing Sampling,  filtering Geometry  reconstrucNon Model  structuring Visual  enrichment sampling,  filtering 2D  DigiNsaNon Final  output WorkPackage  4  -­‐  Post  processing 3D  DigiNsaNon Final  output
  • 5. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project q TECHNIQUES   q AutomaNc  meshing  from  a  dense  3D  point  cloud     q InteracNve  or  semi-­‐automaNc  reconstrucNon  based  on  relevant   profiles     q InteracNve  or  semi-­‐automaNc  reconstrucNon  based  on  primiNves   adjustment     q InteracNve  reconstrucNon  based  on  technical  iconography  (plans,   cross-­‐secNons  and  elevaNons)     q InteracNve  reconstrucNon  based  on  arNsNc  iconography  (sketches,   painNngs,  etc.)   q SOURCE  3D  MODEL  FORMAT   q ply,  Obj,  3DsMAX,  Maya,  …     q FINAL  3D  MODEL  FORMAT  (for  3D  real-­‐&me  rendering)   q Collada  ,  Obj,  Ply,  … Post  processing  execution Geometric  reconstrucNon ClassificaNon  of  post  processing  techniques  et  methodologies WorkPackage  4  -­‐  Post  processing
  • 6. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project q METHODOLOGY   q Unstructured  (point  clouds,  simple  mesh,  ...)   q Decomposed  in  elementary  enNNes   q Decomposed  in  elementary  enNNes  hierarchically  organized  
 (  e.g.  architectural  layouts)   q Decomposed  in  enNNes  organized  in  classes  (e.g.  materials,   temporal  states,  etc.)   q DATASET  STRUCTURE   q 3D  GEOMETRY   q Single  3D  file  structured  (1  LOD)   q MulNple  independent  3D  files  (1  LOD)   q MulNple  independent  3D  files  (mulNple  LODs)   q TEXTURES   q Embedded  into  the  3D  geometry  file   q External  2D  images Model  structuring ClassificaNon  of  post  processing  techniques  et  methodologies Post  processing  execution WorkPackage  4  -­‐  Post  processing
  • 7. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project q TECHNIQUES   q Texture  extracNon  and  projecNon  starNng  from  photographs   finely  oriented  on  the  3D  model  (e.g.  image-­‐based  modeling,   photogrammetry)     q Texturing  by  photographic  samples  of  the  real  materials  of  the   arNfact     q Texturing  by  generic  shaders.     q SOURCE  2D  IMAGES  FORMAT   q TIFF,  BMP,  TGA,  …   q FINAL  2D  IMAGES  FORMAT  (for  3D  real-­‐&me  rendering)   q JPG,  PNG,  … Visual  enrichment ClassificaNon  of  post  processing  techniques  et  methodologies Post  processing  execution WorkPackage  4  -­‐  Post  processing
  • 8. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project q HYPOTHETICAL  RECONSTRUCTION     q METHODOLOGIES   q Basing  on  the  3D  acquisiNon  of  exisNng  (or  existed)  parts;   q Basing  on  previous  2D  surveys  of  exisNng  (or  existed)  parts;   q Basing  on  non-­‐metric  iconographic  sources  of  the  studied  arNfact;   q Basing  on  iconographic  sources  (metric  and  /  or  non-­‐metric)  related   to  similar  arNfacts;   q SCIENTIFIC  (Historic)  ADVISING   q ScienNfic  Commicee     q Bibliographic  references   HypotheNcal  reconstrucNon ClassificaNon  of  post  processing  techniques  et  methodologies Post  processing  execution WorkPackage  4  -­‐  Post  processing
  • 9. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project q TYPE  OF  MEDIA   q StaNc  image  (e.g.  renderings)   q Animated  images  (e.g.  videotours)   q InteracNve  Image  (e.g.  panoramic  imaging)     q FORMAT   q Image  :     q source  file  :  TIFF,  TGA,…   q final  output  :  JPG,  PNG,  …   q Video  :     q source  file  :  MOV,  AVI,  …   q final  output  :  MPEG4,  etc...     q Panorama  :     q source  file  :  TIF,  JPG,  ...   q final  output  :  QuickTime  MOV,  Flash,  ...     Complementary  2D  media  (images,  videos,  VR  scenes,..) ClassificaNon  of  post  processing  techniques  et  methodologies Post  processing  execution WorkPackage  4  -­‐  Post  processing
  • 10. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project Cerveteri  and  Tarquinia  Tombs  (FBK)   Centre  Pompidou  in  Paris  (CNRS)   Roman  archaeological  finds  (POLIMI)     Treasury  of  Marseille  in  Delphi  (CNRS) Analysis  of  4  case  studies ClassificaNon  of  post  processing  techniques  et  methodologies Post  processing  execution WorkPackage  4  -­‐  Post  processing
  • 11. Livio  De  Luca,  MAP  Laboratory  (UMR  3495  CNRS/MCC)  _  FR                                                                    hcp://www.map.archi.fr A  -­‐  GEOMETRIC  RECONSTRUCTION A1 Automa&c  meshing  from  a  dense  3D  point  cloud A2 InteracNve  or  semi-­‐automaNc  reconstrucNon  based  on  relevant  profiles A3 InteracNve  or  semi-­‐automaNc  reconstrucNon  based  on  primiNves  adjustment A4 InteracNve  reconstrucNon  based  on  technical  iconography  (plans,  cross-­‐secNons  and   elevaNons) A5 InteracNve  reconstrucNon  based  on  arNsNc  iconography  (sketches,  painNngs,  etc.) B  -­‐  MODEL  STRUCTURING   B1 Unstructured  (point  clouds,  simple  mesh,  ...) B2 Decomposed  in  elementary  enNNes B3 Decomposed  in  elementary  enNNes  hierarchically  organized  
 (  e.g.  architectural  layouts) B4 Decomposed  in  enNNes  organized  in  classes  (e.g.  materials,  temporal  states,  etc.) C  -­‐  DATASET  STRUCTURE  (Geometry)   C1   Single  3D  file  structured  (1  LOD) C2 MulNple  independent  3D  files  (1  LOD) C3 MulNple  independent  3D  files  (mulNple  LODs) D  -­‐  DATASET  STRUCTURE  (Textures)   D1 Embedded  into  the  3D  geometry  file D2 External  2D  images E  -­‐  VISUAL  ENRICHMENT     E1 Texture  extrac&on  and  projec&on  star&ng  from  photographs  finely  oriented  on  the  3D   model  (e.g.  image-­‐based  modeling,  photogrammetry) E2 Texturing  by  photographic  samples  of  the  real  materials  of  the  arNfact     E3 Texturing  by  generic  shaders. F  -­‐  HYPOTHETICAL  RECONSTRUCTION     F1   Basing  on  the  3D  acquisiNon  of  exisNng  (or  existed)  parts; F2 Basing  on  previous  2D  surveys  of  exisNng  (or  existed)  parts; F3 Basing  on  non-­‐metric  iconographic  sources  of  the  studied  arNfact; F4 Basing  on  iconographic  sources  (metric  and  /  or  non-­‐metric)  related  to  similar  arNfacts; G  -­‐  SCIENTIFIC  (Historic)  ADVISING G1 ScienNfic  Commicee     G2 Bibliographic  references   Case  study  1   Cerveteri  and  Tarquinia  Tombs  (FBK)  
  • 12. Livio  De  Luca,  MAP  Laboratory  (UMR  3495  CNRS/MCC)  _  FR                                                                    hcp://www.map.archi.fr A  -­‐  GEOMETRIC  RECONSTRUCTION A1 AutomaNc  meshing  from  a  dense  3D  point  cloud A2 Interac&ve  or  semi-­‐automa&c  reconstruc&on  based  on  relevant  profiles A3 InteracNve  or  semi-­‐automaNc  reconstrucNon  based  on  primiNves  adjustment A4 Interac&ve  reconstruc&on  based  on  technical  iconography  (plans,  cross-­‐sec&ons  and   eleva&ons) A5 InteracNve  reconstrucNon  based  on  arNsNc  iconography  (sketches,  painNngs,  etc.) B  -­‐  MODEL  STRUCTURING   B1 Unstructured  (point  clouds,  simple  mesh,  ...) B2 Decomposed  in  elementary  enNNes B3 Decomposed  in  elementary  enNNes  hierarchically  organized  
 (  e.g.  architectural  layouts) B4 Decomposed  in  en&&es  organized  in  classes  (e.g.  materials,  temporal  states,  etc.) C  -­‐  DATASET  STRUCTURE  (Geometry)   C1   Single  3D  file  structured  (1  LOD) C2 MulNple  independent  3D  files  (1  LOD) C3 Mul&ple  independent  3D  files  (mul&ple  LODs) D  -­‐  DATASET  STRUCTURE  (Textures)   D1 Embedded  into  the  3D  geometry  file D2 External  2D  images E  -­‐  VISUAL  ENRICHMENT     E1 Texture  extracNon  and  projecNon  starNng  from  photographs  finely  oriented  on  the  3D   model  (e.g.  image-­‐based  modeling,  photogrammetry) E2 Texturing  by  photographic  samples  of  the  real  materials  of  the  ar&fact     E3 Texturing  by  generic  shaders. F  -­‐  HYPOTHETICAL  RECONSTRUCTION     F1   Basing  on  the  3D  acquisiNon  of  exisNng  (or  existed)  parts; F2 Basing  on  previous  2D  surveys  of  exisNng  (or  existed)  parts; F3 Basing  on  non-­‐metric  iconographic  sources  of  the  studied  arNfact; F4 Basing  on  iconographic  sources  (metric  and  /  or  non-­‐metric)  related  to  similar  arNfacts; G  -­‐  SCIENTIFIC  (Historic)  ADVISING G1 ScienNfic  Commicee     G2 Bibliographic  references   Case  study  2   Centre  Pompidou  in  Paris  (CNRS)  
  • 13. Livio  De  Luca,  MAP  Laboratory  (UMR  3495  CNRS/MCC)  _  FR                                                                    hcp://www.map.archi.fr A  -­‐  GEOMETRIC  RECONSTRUCTION A1 Automa&c  meshing  from  a  dense  3D  point  cloud A2 InteracNve  or  semi-­‐automaNc  reconstrucNon  based  on  relevant  profiles A3 InteracNve  or  semi-­‐automaNc  reconstrucNon  based  on  primiNves  adjustment A4 InteracNve  reconstrucNon  based  on  technical  iconography  (plans,  cross-­‐secNons  and   elevaNons) A5 InteracNve  reconstrucNon  based  on  arNsNc  iconography  (sketches,  painNngs,  etc.) B  -­‐  MODEL  STRUCTURING   B1 Unstructured  (point  clouds,  simple  mesh,  ...) B2 Decomposed  in  elementary  enNNes B3 Decomposed  in  elementary  enNNes  hierarchically  organized  
 (  e.g.  architectural  layouts) B4 Decomposed  in  enNNes  organized  in  classes  (e.g.  materials,  temporal  states,  etc.) C  -­‐  DATASET  STRUCTURE  (Geometry)   C1   Single  3D  file  structured  (1  LOD) C2 MulNple  independent  3D  files  (1  LOD) C3 MulNple  independent  3D  files  (mulNple  LODs) D  -­‐  DATASET  STRUCTURE  (Textures)   D1 Embedded  into  the  3D  geometry  file D2 External  2D  images E  -­‐  VISUAL  ENRICHMENT     E1 Texture  extrac&on  and  projec&on  star&ng  from  photographs  finely  oriented  on  the  3D   model  (e.g.  image-­‐based  modeling,  photogrammetry) E2 Texturing  by  photographic  samples  of  the  real  materials  of  the  arNfact     E3 Texturing  by  generic  shaders. F  -­‐  HYPOTHETICAL  RECONSTRUCTION     F1   Basing  on  the  3D  acquisiNon  of  exisNng  (or  existed)  parts; F2 Basing  on  previous  2D  surveys  of  exisNng  (or  existed)  parts; F3 Basing  on  non-­‐metric  iconographic  sources  of  the  studied  arNfact; F4 Basing  on  iconographic  sources  (metric  and  /  or  non-­‐metric)  related  to  similar  arNfacts; G  -­‐  SCIENTIFIC  (Historic)  ADVISING G1 Scien&fic  CommiYee     G2 Bibliographic  references   Case  study  3   Roman  archaeological  finds  (POLIMI)  
  • 14. Livio  De  Luca,  MAP  Laboratory  (UMR  3495  CNRS/MCC)  _  FR                                                                    hcp://www.map.archi.fr A  -­‐  GEOMETRIC  RECONSTRUCTION A1 Automa&c  meshing  from  a  dense  3D  point  cloud A2 Interac&ve  or  semi-­‐automa&c  reconstruc&on  based  on  relevant  profiles A3 InteracNve  or  semi-­‐automaNc  reconstrucNon  based  on  primiNves  adjustment A4 InteracNve  reconstrucNon  based  on  technical  iconography  (plans,  cross-­‐secNons  and   elevaNons) A5 InteracNve  reconstrucNon  based  on  arNsNc  iconography  (sketches,  painNngs,  etc.) B  -­‐  MODEL  STRUCTURING   B1 Unstructured  (point  clouds,  simple  mesh,  ...) B2 Decomposed  in  elementary  en&&es B3 Decomposed  in  elementary  enNNes  hierarchically  organized  
 (  e.g.  architectural  layouts) B4 Decomposed  in  enNNes  organized  in  classes  (e.g.  materials,  temporal  states,  etc.) C  -­‐  DATASET  STRUCTURE  (Geometry)   C1   Single  3D  file  structured  (1  LOD) C2 MulNple  independent  3D  files  (1  LOD) C3 MulNple  independent  3D  files  (mulNple  LODs) D  -­‐  DATASET  STRUCTURE  (Textures)   D1 Embedded  into  the  3D  geometry  file D2 External  2D  images E  -­‐  VISUAL  ENRICHMENT     E1 Texture  extrac&on  and  projec&on  star&ng  from  photographs  finely  oriented  on  the  3D   model  (e.g.  image-­‐based  modeling,  photogrammetry) E2 Texturing  by  photographic  samples  of  the  real  materials  of  the  arNfact     E3 Texturing  by  generic  shaders. F  -­‐  HYPOTHETICAL  RECONSTRUCTION     F1   Basing  on  the  3D  acquisi&on  of  exis&ng  (or  existed)  parts; F2 Basing  on  previous  2D  surveys  of  exisNng  (or  existed)  parts; F3 Basing  on  non-­‐metric  iconographic  sources  of  the  studied  ar&fact; F4 Basing  on  iconographic  sources  (metric  and  /  or  non-­‐metric)  related  to  similar  ar&facts; G  -­‐  SCIENTIFIC  (Historic)  ADVISING G1 Scien&fic  CommiYee     G2 Bibliographic  references   Case  study  4   Treasury  of  Marseille  in  Delphi  (CNRS)  
  • 15. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project q TYPE  1   q Dense  point  cloud  +  regular  mesh  +  vertex  coloring   q automaNc  processing  +  opNmizaNon   q unstructured     q final  model  managed  in  :  Meshlab,  RapidForm,  ....   q TYPE  2   q Sparse  point  cloud  +  structured  geometry  +  texture  mapping   q semi-­‐automaNc  and  manual  processing   q structured   q final  model  managed  in  3D  sokwares  (3D  studio,  Maya,  etc..)   q TYPE  3  -­‐  integrated  techniques Typical  post  processing  pipelines } } } WorkPackage  4  -­‐  Post  processing
  • 16. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project q TYPE  1   q Dense  point  cloud  +  regular  mesh  +  vertex  coloring   q automaNc  processing  +  opNmizaNon   q unstructured     q final  model  managed  in  :  Meshlab,  RapidForm,  ....   q TYPE  2   q Sparse  point  cloud  +  structured  geometry  +  texture  mapping   q semi-­‐automaNc  and  manual  processing   q structured   q final  model  managed  in  3D  sokwares  (3D  studio,  Maya,  etc..)   q TYPE  3  -­‐  integrated  techniques Publica&on  formats   WP  5 } } Typical  post  processing  pipelines } } } } Towards  final  on-­‐line  publicaNon  formats WorkPackage  4  -­‐  Post  processing final  output
 ready  to  be  converted final  output
 ready  to  be  converted
  • 17. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project How  many  final  outputs  ? DIGITISATION WorkPackage  4  -­‐  Post  processing FINAL  OUTPUT The  case  of  Saint  Michel  de  Cuxa’s  cloister
  • 18. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project How  many  final  outputs  ? DIGITISATION }POST  PROCESSING 3D digitization Terrestrial photogrammetry 3D Laser scanning 1 Pointcloud - exterior 2 Pointcloud - interior 32 col Photographs - Details 43 col Photographs - Building parts Aerial photogrammetry 1 Pointcloud - landscape 1 Orthophotography - landscape 32 Pointclouds - elements 14 Pointclouds - details Post processing 3D modeling - current state 1 CAD-like 3D model - exterior 4 CAD-like 3D models - interior 46 Textured 3D models - details 1 3D Textured mode - exterior 4 3D textured models 1 Textured 3D model 3D modeling - hypothetical states 1 Textured 3D mode - 12th century 1 Textured 3D model - 11th century 1 Textured 3D mode - 10th century 1 Textured 3D model (interior/detail) - 11th century Complementary 2D media 3D model - current state 3D model - 12th century3D model - 11 th century 3D model - 10th century 4 images - 1 video 4 images - 1 video 2 images - 1 video 3 images - 1 video 1 video 50 images - detail WorkPackage  4  -­‐  Post  processing MULTIPLE    DIGITAL  ASSETS FINAL  OUTPUT The  case  of  Saint  Michel  de  Cuxa’s  cloister
  • 19. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project How  many  final  outputs  ? 3D digitization Terrestrial photogrammetry 3D Laser scanning 1 Pointcloud - exterior 2 Pointcloud - interior 32 col Photographs - Details 43 col Photographs - Building parts Aerial photogrammetry 1 Pointcloud - landscape 1 Orthophotography - landscape 32 Pointclouds - elements 14 Pointclouds - details Post processing 3D modeling - current state 1 CAD-like 3D model - exterior 4 CAD-like 3D models - interior 46 Textured 3D models - details 1 3D Textured mode - exterior 4 3D textured models 1 Textured 3D model 3D modeling - hypothetical states 1 Textured 3D mode - 12th century 1 Textured 3D model - 11th century 1 Textured 3D mode - 10th century 1 Textured 3D model (interior/detail) - 11th century Complementary 2D media 3D model - current state 3D model - 12th century3D model - 11 th century 3D model - 10th century 4 images - 1 video 4 images - 1 video 2 images - 1 video 3 images - 1 video 1 video 50 images - detail 3D digitization Terrestrial photogrammetry 3D Laser scanning 1 Pointcloud - exterior 2 Pointcloud - interior 32 col Photographs - Details 43 col Photographs - Building parts Aerial photogrammetry 1 Pointcloud - landscape 1 Orthophotography - landscape 32 Pointclouds - elements 14 Pointclouds - details Digi&sa&on WorkPackage  4  -­‐  Post  processing Post  processing The  case  of  Saint  Michel  de  Cuxa’s  cloister
  • 20. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project How  many  final  outputs  ? 1 Orthophotography - landscape 14 Pointclouds - details Post processing 3D modeling - current state 1 CAD-like 3D model - exterior 4 CAD-like 3D models - interior 46 Textured 3D models - details 1 3D Textured mode - exterior 4 3D textured models 1 Textured 3D model 3D modeling - hypothetical states 1 Textured 3D mode - 12th century 1 Textured 3D model - 11th century 1 Textured 3D mode - 10th century 3D digitization Terrestrial photogrammetry 3D Laser scanning 1 Pointcloud - exterior 2 Pointcloud - interior 32 col Photographs - Details 43 col Photographs - Building parts Aerial photogrammetry 1 Pointcloud - landscape 1 Orthophotography - landscape 32 Pointclouds - elements 14 Pointclouds - details Post processing 3D modeling - current state 1 CAD-like 3D model - exterior 4 CAD-like 3D models - interior 46 Textured 3D models - details 1 3D Textured mode - exterior 4 3D textured models 1 Textured 3D model 3D modeling - hypothetical states 1 Textured 3D mode - 12th century 1 Textured 3D model - 11th century 1 Textured 3D mode - 10th century 1 Textured 3D model (interior/detail) - 11th century Complementary 2D media 3D model - current state 3D model - 12th century3D model - 11 th century 3D model - 10th century 4 images - 1 video 4 images - 1 video 2 images - 1 video 3 images - 1 video 1 video 50 images - detail Post  processing WorkPackage  4  -­‐  Post  processing Digi&sa&on Complementary  2D  Media The  case  of  Saint  Michel  de  Cuxa’s  cloister
  • 21. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project How  many  final  outputs  ?1 Textured 3D model1 Textured 3D mode - 10th century Complementary 2D media 3D model - current state 3D model - 12th century3D model - 11 th century 3D model - 10th century 4 images - 1 video 4 images - 1 video 2 images - 1 video 3 images - 1 video 1 video 50 images - detail 3D digitization Terrestrial photogrammetry 3D Laser scanning 1 Pointcloud - exterior 2 Pointcloud - interior 32 col Photographs - Details 43 col Photographs - Building parts Aerial photogrammetry 1 Pointcloud - landscape 1 Orthophotography - landscape 32 Pointclouds - elements 14 Pointclouds - details Post processing 3D modeling - current state 1 CAD-like 3D model - exterior 4 CAD-like 3D models - interior 46 Textured 3D models - details 1 3D Textured mode - exterior 4 3D textured models 1 Textured 3D model 3D modeling - hypothetical states 1 Textured 3D mode - 12th century 1 Textured 3D model - 11th century 1 Textured 3D mode - 10th century 1 Textured 3D model (interior/detail) - 11th century Complementary 2D media 3D model - current state 3D model - 12th century3D model - 11 th century 3D model - 10th century 4 images - 1 video 4 images - 1 video 2 images - 1 video 3 images - 1 video 1 video 50 images - detail Complementary  2D  media WorkPackage  4  -­‐  Post  processing Post  processing The  case  of  Saint  Michel  de  Cuxa’s  cloister
  • 22. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project How  many  final  outputs  ? 3D digitization Terrestrial photogrammetry 3D Laser scanning 1 Pointcloud - exterior 2 Pointcloud - interior 32 col Photographs - Details 43 col Photographs - Building parts Aerial photogrammetry 1 Pointcloud - landscape 1 Orthophotography - landscape 32 Pointclouds - elements 14 Pointclouds - details Post processing 3D modeling - current state 1 CAD-like 3D model - exterior 4 CAD-like 3D models - interior 46 Textured 3D models - details 1 3D Textured mode - exterior 4 3D textured models 1 Textured 3D model 3D modeling - hypothetical states 1 Textured 3D mode - 12th century 1 Textured 3D model - 11th century 1 Textured 3D mode - 10th century Textured 3D model (interior/detail) 11th century Complementary 2D media 3D model - current state 3D model - 12th century3D model - 11 th century 3D model - 10th century 4 images - 1 video 4 images - 1 video 2 images - 1 video 3 images - 1 video 1 video 50 images - detail } q 3D  Digi&sa&on     q Images  :  75  collecNons  (+  450  images)    
 +  1  orthophotography     q 3D  models  :  50  pointclouds     q Post  processing   q Current  state  :   q 5  cad-­‐like  3D  models   q 52  textured  3D  models   q HypotheNcal  states  :     q 4  textured  3D  models   q Complementary  2D  media  (derived  from  3D  models)   q 63  Images  (rendering)   q 5  Video  animaNons
 -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐  -­‐     q Total   q 111  3D  Models     q 50  pointclouds   q  5  cad-­‐like  3D  models   q  56  textured  3D  models   q 514  images   q  75  images  collecNons  (+  450  images)   q  64  images  (derived  from  the  3D  model) WorkPackage  4  -­‐  Post  processing The  case  of  Saint  Michel  de  Cuxa’s  cloister
  • 23. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project WorkPackage  4  -­‐  Post  processing Metadata  creation Linking  the  3D  processing  pipeline  to  the  metadata  creaNon Versailles                Petit  Trianon                              Chambre  de  la  Reine Sécrétaire  W1-­‐38-­‐1
  • 24. Analysis  of  the  3D  reconstruction  methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project  Analysis  of  the  3D  reconstruction   methodologies  used  within  the  framework  of  the  3D-­‐ICONS  project WorkPackage  4  -­‐  Post  processing Metadata  creation Linking  the  3D  processing  pipeline  to  the  metadata  creaNon Versailles                Petit  Trianon                              Chambre  de  la  Reine Sécrétaire  W1-­‐38-­‐1 Digital  asset  
 3D  Textured  PointCloud   HD  version Digital  asset  
 3D  Textured  Model   HD  and  LD  version Digital  asset  
 Video  animation PHYSICAL
 OBJECT DIGITAL
 ASSET DIGITAL
 ASSET DIGITAL
 ASSET
  • 25. a eventtype eve nttype eventty pe eventtype eventtype ACTIVITY 3D M odeling process 2D medias (derivedfrom t he3D model) Scientificandtechnicalsupport Originofresource Typeofsurvey/Dataacquisition VRobjects) documentationterminology representation hypot hesis figurativesearch simolarproperties (pass ivesensor) (activesensor) GeodeticSections/Sketch-up reconstruction reco nstruction structuring enrichment (e.g. renderings) (e.g. videotours) (e.g.panoramic, specificappropriate problemsofthe reconst ruction research stylisticand analysiswith Im a ge-based Range-based TopographicCAD/Maps Realitybased Hyp othetical Model Visual Static images Animated im ages Interactiveimages ToprovideTosuggestan Toidentifythe Form u latea Bibliographic Iconographic, Comparative Libraryreference collectionand online bibliographic searchengine Libraryreference collectionand onlinebibliographic searchengine Morphology, typology, materials,etc. Historicalperiod, architecturaltypology, climatezone,etc. Based on a com parative analysisw ith sim ilar properties ABC Reporton archaeological work,static anddynamic analysis,etc. DIGITIZATION 3D M ODELING RENDERI NG SCIENTIFICADVISING DOCUMENTATION ORGANIZATION Country Contacts Name Sour ce Date ACTOR Actorty pe Actor type Team (ororganisation) Individual Actor Name Roles PlaceofBirth PlaceofDead D ateofBirth DateofDead DisplaydatePlaceofActivit y StaticImages AnimatedImagesInteractiveImages Consulte dduringthe project Created during the project Photos Sketch CAD MAPS Raw Consolidated Interactive Work3DModelSource3DModel Web3D M od el Type of ressource Documentary Photos 2DDrawings Pointclou d 3DModel Complementary Doc um entary DIGITAL RESOURCES Appelationname Spa tial Description HERITAGE ASSET HA (Monument) HA (Part de) HA (Element) Appelation name Sp atial Description ty petyp e ty pety pe resources 2DMedia res ources Appelationname Sp atial DescriptionAppelationname Sp atial Description HA (Furniture) ACTIVITY Appelation Name** Event Type* Has General Purpose Actor Has assisted Is derived of Had Specific Purpose Start Date End Date Methods Material Software 4ème Campagne de relevé du mobilier des appartements du 1er etage du Petit Trianon Digitization Numérisation photographique et laser du mobilier conservé en Angleterre Lazare GRENIER, Noémie RENAUDIN Novembre 2008 Novembre 2008 Image-based survey, Range-based survey NIKON D300, Nikkor 18-70mm, Konica Minolta V-910 ACTOR Actor Name ** Actor Type Roles Place of Birth Place of Death Place of Activity Date of Birth Date of Death Display Dates Noémie RENAUDIN Individual Assistante Ingenieur Lazare GRENIER Individual Géomètre ORGANIZATION Organization Name ** Source * Date * Country * Contacts Name * Contacts Role Contacts Organization Contacts Address Building Name Contacts Address Number In Road Contacts Address Road Name Contacts Address Town Or City Contacts Address Postcode or Zipcode Contacts Address Locality Contacts Address Admin Area Contacts Address Country Contacts Phone Contacts Fax Contacts Email Contacts Description UMR 3495 CNRS/MCC MAP UMR 3495 CNRS/MCC MAP 13/02/2014 FRANCE Livio DE LUCA Ingénieur de Recherche au CNRS, HDR UMR 3495 CNRS/MCC MAP Campus CNRS Joseph Aiguier, Bât Z' 31 Chemin Joseph Aiguier Marseille Cedex 20 13402 FRANCE +33 (0)491164347 +33 (0)491164343 livio.deluca@map.archi.fr Appelation Name** Description** Link (thumbnail)** Object ** Is Shown at** Copyright Credit Line** Europeana Rights ** Access Rights (enum) Reproduction Rights Licence Type* Format* Details Publisher Place (publication) Actor Data_10.vvd Nuage de point issu du relevé laser de la table mécanique W1-38-1 UMR 3495 CNRS/MCC MAP The Public Domain Mark (PDM) Nuage de points .vvd Noémie RENAUDIN DIGITAL RESSOURCE Is part of W 1-38-1 Chambre de la Reine Digitisation 24 photos 1 point-cloud A1 PHYSICAL
 OBJECT DIGITAL
 ASSET DIGITAL  ASSET  -­‐  3D  POINT  CLOUD
  • 26. a eventtype eve nttype eventty pe eventtype eventtype ACTIVITY 3D M odeling process 2D medias (derivedfrom t he3D model) Scientificandtechnicalsupport Originofresource Typeofsurvey/Dataacquisition VRobjects) documentationterminology representation hypot hesis figurativesearch simolarproperties (pass ivesensor) (activesensor) GeodeticSections/Sketch-up reconstruction reco nstruction structuring enrichment (e.g. renderings) (e.g. videotours) (e.g.panoramic, specificappropriate problemsofthe reconst ruction research stylisticand analysiswith Im a ge-based Range-based TopographicCAD/Maps Realitybased Hyp othetical Model Visual Static images Animated im ages Interactiveimages ToprovideTosuggestan Toidentifythe Form u latea Bibliographic Iconographic, Comparative Libraryreference collectionand online bibliographic searchengine Libraryreference collectionand onlinebibliographic searchengine Morphology, typology, materials,etc. Historicalperiod, architecturaltypology, climatezone,etc. Based on a com parative analysisw ith sim ilar properties ABC Reporton archaeological work,static anddynamic analysis,etc. DIGITIZATION 3D M ODELING RENDERI NG SCIENTIFICADVISING DOCUMENTATION ORGANIZATION Country Contacts Name Sour ce Date ACTOR Actorty pe Actor type Team (ororganisation) Individual Actor Name Roles PlaceofBirth PlaceofDead D ateofBirth DateofDead DisplaydatePlaceofActivit y StaticImages AnimatedImagesInteractiveImages Consulte dduringthe project Created during the project Photos Sketch CAD MAPS Raw Consolidated Interactive Work3DModelSource3DModel Web3D M od el Type of ressource Documentary Photos 2DDrawings Pointclou d 3DModel Complementary Doc um entary DIGITAL RESOURCES Appelationname Spa tial Description HERITAGE ASSET HA (Monument) HA (Part de) HA (Element) Appelation name Sp atial Description ty petyp e ty pety pe resources 2DMedia res ources Appelationname Sp atial DescriptionAppelationname Sp atial Description HA (Furniture) ACTIVITY Appelation Name** Event Type* Has General Purpose Actor Has assisted Is derived of Had Specific Purpose Start Date End Date Methods Material Software Modélisation 3D de la table mécanique W1-38-1 3D Modeling Modélisation 3D de la table mécanique W1-38-1 Luca FORESI, Noémie RENAUDIN Août 2009 Août 2009 Geometric Reconstruction, Visual Enrichment Autodesk Image Modeler 4.0 ; Autodesk Maya 2008 ACTOR Actor Name ** Actor Type Roles Place of Birth Place of Death Place of Activity Date of Birth Date of Death Display Dates Luca FORESI Individual Géomètre ORGANIZATION Organization Name ** Source * Date * Country * Contacts Name * Contacts Role Contacts Organization Contacts Address Building Name Contacts Address Number In Road Contacts Address Road Name Contacts Address Town Or City Contacts Address Postcode or Zipcode Contacts Address Locality Contacts Address Admin Area Contacts Address Country Contacts Phone Contacts Fax Contacts Email Contacts Description UMR 3495 CNRS/MCC MAP UMR 3495 CNRS/MCC MAP 13/02/2014 FRANCE Livio DE LUCA Ingénieur de Recherche au CNRS, HDR UMR 3495 CNRS/MCC MAP Campus CNRS Joseph Aiguier, Bât Z' 31 Chemin Joseph Aiguier Marseille Cedex 20 13402 FRANCE +33 (0)491164347 +33 (0)491164343 livio.deluca@map.archi.fr Appelation Name** Description** Link (thumbnail)** Object ** Is Shown at** Copyright Credit Line** Europeana Rights ** Access Rights (enum) Reproduction Rights Licence Type* Format* Details Publisher Place (publication) Actor W1-38-1.mb Fichier Maya de reconstruction 3D de la table mécanique W1-38-1 UMR 3495 CNRS/MCC MAP The Public Domain Mark (PDM) 3D .mb Luca FORESI DIGITAL RESSOURCE Is part of Noémie RENAUDIN Individual Assistante Ingenieur W 1-38-1 Chambre de la Reine 3D modeling 1 HD 3D Model (local) 1 LD 3D model (web) A1 A2 PHYSICAL
 OBJECT DIGITAL
 ASSET DIGITAL  ASSET  -­‐  TEXTURED  3D  MODEL
  • 27. a eventtype eve nttype eventty pe eventtype eventtype ACTIVITY 3D M odeling process 2D medias (derivedfrom t he3D model) Scientificandtechnicalsupport Originofresource Typeofsurvey/Dataacquisition VRobjects) documentationterminology representation hypot hesis figurativesearch simolarproperties (pass ivesensor) (activesensor) GeodeticSections/Sketch-up reconstruction reco nstruction structuring enrichment (e.g. renderings) (e.g. videotours) (e.g.panoramic, specificappropriate problemsofthe reconst ruction research stylisticand analysiswith Im a ge-based Range-based TopographicCAD/Maps Realitybased Hyp othetical Model Visual Static images Animated im ages Interactiveimages ToprovideTosuggestan Toidentifythe Form u latea Bibliographic Iconographic, Comparative Libraryreference collectionand online bibliographic searchengine Libraryreference collectionand onlinebibliographic searchengine Morphology, typology, materials,etc. Historicalperiod, architecturaltypology, climatezone,etc. Based on a com parative analysisw ith sim ilar properties ABC Reporton archaeological work,static anddynamic analysis,etc. DIGITIZATION 3D M ODELING RENDERI NG SCIENTIFICADVISING DOCUMENTATION ORGANIZATION Country Contacts Name Sour ce Date ACTOR Actorty pe Actor type Team (ororganisation) Individual Actor Name Roles PlaceofBirth PlaceofDead D ateofBirth DateofDead DisplaydatePlaceofActivit y StaticImages AnimatedImagesInteractiveImages Consulte dduringthe project Created during the project Photos Sketch CAD MAPS Raw Consolidated Interactive Work3DModelSource3DModel Web3D M od el Type of ressource Documentary Photos 2DDrawings Pointclou d 3DModel Complementary Doc um entary DIGITAL RESOURCES Appelationname Spa tial Description HERITAGE ASSET HA (Monument) HA (Part de) HA (Element) Appelation name Sp atial Description ty petyp e ty pety pe resources 2DMedia res ources Appelationname Sp atial DescriptionAppelationname Sp atial Description HA (Furniture) ACTIVITY Appelation Name** Event Type* Has General Purpose Actor Has assisted Is derived of Had Specific Purpose Start Date End Date Methods Material Software Création de médias 2D asscociés à la table mécanique W1-38-1 Rendering Rendu Vidéo de la manipulation de la table mécanique W1-38-1 Luca FORESI, Noémie RENAUDIN Août 2009 Août 2009 Animated Images Autodesk Maya 2008 ACTOR Actor Name ** Actor Type Roles Place of Birth Place of Death Place of Activity Date of Birth Date of Death Display Dates Luca FORESI Individual Géomètre ORGANIZATION Organization Name ** Source * Date * Country * Contacts Name * Contacts Role Contacts Organization Contacts Address Building Name Contacts Address Number In Road Contacts Address Road Name Contacts Address Town Or City Contacts Address Postcode or Zipcode Contacts Address Locality Contacts Address Admin Area Contacts Address Country Contacts Phone Contacts Fax Contacts Email Contacts Description UMR 3495 CNRS/MCC MAP UMR 3495 CNRS/MCC MAP 13/02/2014 FRANCE Livio DE LUCA Ingénieur de Recherche au CNRS, HDR UMR 3495 CNRS/MCC MAP Campus CNRS Joseph Aiguier, Bât Z' 31 Chemin Joseph Aiguier Marseille Cedex 20 13402 FRANCE +33 (0)491164347 +33 (0)491164343 livio.deluca@map.archi.fr Appelation Name** Description** Link (thumbnail)** Object ** Is Shown at** Copyright Credit Line** Europeana Rights ** Access Rights (enum) Reproduction Rights Licence Type* Format* Details Publisher Place (publication) Actor secretaire-7.mov Vidéo de la manipulation de la table mécanique W1-38-1 UMR 3495 CNRS/MCC MAP The Public Domain Mark (PDM) Vidéo .mov Noémie RENAUDIN DIGITAL RESSOURCE Is part of Noémie RENAUDIN Individual Assistante Ingenieur W 1-38-1 Chambre de la Reine Complementary 2D media (video) 1 video animationA1 A2 A3 1 HD 3D Model (local) 1 LD 3D model (web) 24 1 point-cloud PHYSICAL
 OBJECT DIGITAL
 ASSET DIGITAL  ASSET  -­‐  VIDEO  ANIMATION