13. Results (1)
• Compare FaceDecetor, Different Feature and K value
✤ Test data : 2002 The lord of rings trailer
✤ Face Detector : 20 images, SkinFace Detector : 14 images
Model RR (%) Model RR (%)
Face_LBP_1 78.95% SkinFace_LBP_1 100%
Face_LBP_3 69.57% SkinFace_LBP_3 90.91%
Face_LBP_5 70% SkinFace_LBP_5 90.91%
Face_PCA_1 71.69% SkinFace_PCA_1 63.64%
Face_PCA_3 66.67% SkinFace_PCA_3 45.45%
Because 20 is larger than 14, we choose Face Detector.
14. Results (2)
• Compare Distance
✤ Test data : 2003 The lord of rings trailer
✤ Parameter:
1. FaceDetector
2. LBP
3. k=1
4. Chi-square
TRUE FALSE RR (%)
Chi-Square 16 4 80.0%
Cosine 14 6 70.0%
Enclidean 13 7 65.0%
15. Results (3)
• Final Test (Class * 5)
✤ Test data : The lord of ring trailer * 4 (different)
✤ Parameter:
1. FaceDetector
2. LBP
3. k=1
4. Chi-square
TRUE FALSE Non-Face Unknown
2001-1 16 4 12 7
2001-2 16 5 15 2
2002 28 2 21 17
2003 20 4 10 11
Total 80 15 58 37
RR (%) 84.21% DR (%) 69.47%
16. Results (4)
• Final Test (Class * 10)
✤ Test data : The lord of ring trailer * 4 (different)
✤ Parameter:
1. FaceDetector
2. LBP
3. k=1
4. Chi-square
TRUE FALSE Non-Face Unknown
2001-1 22 9 16 2
2001-2 17 6 13 4
2002 26 8 25 24
2003 28 7 7 9
Total 93 30 61 39
RR (%) 75.60% DR (%) 72.60%
19. Conclusion
• LBP feature is better than Eigenfaces.
• In our experiment, Chi-square distance is better
than Cosine distance and Euclidean distance.
• SkinDetectors aren’t useful all the time.
• Hard to detect face in movie senses.