from EECVC2016

1. High accuracy camera calibration
Michael Norel
Head of R&D at Augmented Pixels
michael@augmentedpixels.com

2. High accuracy camera calibration
- importance
- robustness

3. Current state
- openCV
- matlab
- current approach

4. Problems
- features precise location
- errors of corner location
- errors of ellipse center
- perspective(radial) warp

5. Systematic noise
- from location errors
- from luminance offsets

6. High accuracy calibration
- introduction to high accuracy
- old style calibration without
errors
- subpixel accuracy
- precise marker location

7. Digital image correlation
frontal image (fronto-parallel)

8. Digital image correlation
brief intro onto DIC precision
(sort of precise optical flow)

9. Digital image correlation
- circular marker approach
- model based
- symmetric

10. Bundle adjustment
- imperfection of calibration pattern
- real feature locations

11. Numeric problems
- importance of parametrization
- optimization stuck
- different cost functions

12. Uncertainty
- correct uncertainty estimation
- cross correlation
- parameters elimination

13. Just do it
- how to eliminate errors from symmetric correlation?
- different types of parametrization
- new types of fiducial markers
- contribute to openCV, add your name to CV history

14. list of sources
1. «Advanced geometric camera calibration for machine vision»
Minh Vo,Zhaoyang Wang,Long Luu,and Jun Ma
2. «Precision Landmark Location for Machine Vision and
Photogrammetry», Jose A.Gutierrez , Brian S.R. Armstrong
3. «Image Correlation for Shape, Motion and Deformation
Measurements», Michael A. Sutton, Jean-José Orteu, Hubert W.
Schreier

15. Questions?