Gradient edge map features for frontal face recognition under extreme illumination changes

BMVC 2012 - Electronic Proceedings of the British Machine Vision Conference 2012

Volumn , Issue , 2012, Pages

  Arandjelović, Ognjen ^a  

^a SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; LIGHT SOURCES; PROBES;

CHARACTERISTIC CURVE; EXTREME ILLUMINATIONS; FACIAL FEATURE; ILLUMINATION CONDITIONS; IMAGE GRADIENTS; PROCESSING STEPS; QUANTIZATION NOISE; SINGLE TRAINING IMAGE PER PERSON;

FACE RECOGNITION;

EID: 84898434315     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.26.12     Document Type: Conference Paper

References (24)

1. O. Arandjelović. Computationally efficient application of the generic shapeillumination invariant to face recognition from video. Pattern Recognition (PR), 45 (1):92-103, 2012.
2. O. Arandjelović and R. Cipolla. A new look at filtering techniques for illumination invariance in automatic face recognition. In Proc. IEEE International Conference on Automatic Face and Gesture Recognition (FG), pages 449-454, 2006.
3. O. Arandjelović and R. Cipolla. Automatic cast listing in feature-length films with anisotropic manifold space. In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2:1513-1520, 2006.
4. S. Arca, P. Campadelli, and R Lanzarotti. A face recognition system based on local feature analysis. Lecture Notes in Computer Science (LNCS), 2688:182-189, 2003.
5. M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski. Face recognition by independent component analysis. IEEE Transactions on Neural Networks (TNN), 13(6):1450-1464, 2002.
6. D. S. Bolme. Elastic bunch graph matching. Master's thesis, Colorado State University, 2003.
7. B. Duc, S. Fischer, and J. Bigün. Face authentication with Gabor information on deformable graphs. IEEE Transactions on Image Processing (TIP), 8(4):504-516, 1999.
8. P. Dunker and M. Keller. Illumination normalization for face recognition - A comparative study of conventional vs. perception-inspired algorithms. BIOSIGNALS, 2: 237-243, 2008.
9. M. Everingham and A. Zisserman. Identifying individuals in video by combining generative and discriminative head models. In Proc. IEEE International Conference on Computer Vision (ICCV), 2005.
10. A. Fitzgibbon and A. Zisserman. On affine invariant clustering and automatic cast listing in movies. In Proc. European Conference on Computer Vision (ECCV), pages 304-320, 2002.
11. A. S. Georghiades, P. N. Belhumeur, and D. J. Kriegman. From few to many: Illumination cone models for face recognition under variable lighting and pose. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 23(6):643-660, 2001.
12. R. Gross, I. Matthews, and S. Baker. Active appearance models with occlusion. Image and Vision Computing (special issue on Face Processing in Video), 1(6):593-604, 2006.
13. J. H. Hsiao and T. T. Liu. The optimal viewing position in face recognition. Journal of Vision, 12(2), 2012.
14. C. Kotropoulos, A. Tefas, and I. Pitas. Frontal face authentication using morphological elastic graph matching. IEEE Transactions on Image Processing (TIP), 9(4):555-560, 2000.
15. E. H. Land. The retinex theory of color vision. Scientific American, 237(6):108-128, 1977.
16. J. Lee, B. Moghaddam, H. Pfister, and R. Machiraju. Finding optimal views for 3D face shape modeling. In Proc. IEEE International Conference on Automatic Face and Gesture Recognition (FG), pages 31-36, 2004.
17. K. Lee, J. Ho, and D. Kriegman. Nine points of light: Acquiring subspaces for face recognition under variable lighting. In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1:519-526, 2003.
18. G. Pan and Z.Wu. 3D face recognition from range data. International Journal of Image and Graphics, 5(3):573-593, 2005.
19. O. G. Sezer, Y. Altunbasak, and A. Ercil. Face recognition with independent component based super-resolution. In Proc. of SPIE Visual Communications and Image Processing Conference, 2006.
20. A. Stergiou, A. Pnevmatikakis, and L. Polymenakos. EBGM vs. subspace projection for face recognition. In Proc. International Conference on Computer Vision Theory and Applications, 2006.
21. H. Wang, S. Z. Li, and Y. Wang. Face recognition under varying lighting conditions using self quotient image. In Proc. IEEE International Conference on Automatic Face and Gesture Recognition (FG), pages 819-824, 2004.
22. Y. Wang, Y. Jia, C. Hu, and M. Turk. Non-negative matrix factorization framework for face recognition. International Journal of Pattern Recognition and Artificial Intelligence, 19(4):495-511, 2005.
23. Y. Wong, C. Sanderson, and B. C. Lovell. Regression based non-frontal face synthesis for improved identity verification. In Proc. International Conference on Computer Analysis of Images and Patterns (CAIP), pages 116-124, 2009.
24. X. Xie and K.-M. Lam. Face recognition under varying illumination based on a 2D face shape model. Pattern Recognition (PR), 38(2):221-230, 2005.