Computationally efficient application of the generic shape-illumination invariant to face recognition from video

Pattern Recognition

Volumn 45, Issue 1, 2012, Pages 92-103

  Arandjelović, Ognjen ^a  

^a TRINITY COLLEGE   (United Kingdom)

Author keywords

Lighting; Manifold; Mixture; Pose; Signature; Warp

Indexed keywords

COMPUTATIONAL DEMANDS; COMPUTATIONALLY EFFICIENT; EMPIRICAL FINDINGS; ILLUMINATION VARIATION; LARGE DATA; MANIFOLD; MATCHING SPEED; MIXTURE MODEL; MULTIPLE IMAGE; NOVEL METHODS; POSE; RECOGNITION RATES; REILLUMINATION; SIGNATURE; STORAGE REQUIREMENTS; TRAINING IMAGE; WARP;

ALGORITHMS; COMPUTATIONAL EFFICIENCY; ENGINEERING RESEARCH; IMAGE MATCHING;

FACE RECOGNITION;

EID: 80052766896     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.07.002     Document Type: Article

References (30)

1. P.J. Phillips, K.W. Bowyer, P.J. Flynn, A.J. O'Toole, W.T. Scruggs, C.L. Schott, and M. Sharpe Face Recognition Vendor Test 2006 and Iris Challenge Evaluation 2006 Large-Scale Results March 2007 DIANE Publishing Company
2. L. Zhang, and D. Samaras Face recognition from a single training image under arbitrary unknown lighting using spherical harmonics IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 28 3 2006 351 363 (Pubitemid 43159632)
3. 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 2001 643 660 (Pubitemid 32585276)
4. V. Krüger, and G. Sommer Gabor wavelet networks for efficient head pose estimation Journal of the Optical Society of America 19 6 2002 1112 1119
5. V. Blanz, and T. Vetter Face recognition based on fitting a 3D morphable model IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 25 9 2003 1063 1074
6. K. Minyoung, S. Kumar, V. Pavlovic, and H. Rowley Face tracking and recognition with visual constraints in real-world videos Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) vol. 1 2008 1 8
7. Y. Yan, and Y.-J. Zhang State-of-the-art on video-based face recognition Encyclopedia of Artificial Intelligence 2009 IGI Global 1455 1461
8. A. Hadid, and M. Pietikainen Combining appearance and motion for face and gender recognition from videos Pattern Recognition 42 11 2009 2818 2827
9. C. Shan Face recognition and retrieval in video Video Search and Mining 2010 Springer 235 260
10. K. Lee, M. Ho, J. Yang, and D. Kriegman Acquiring linear subspaces for face recognition under variable lighting IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 27 5 2005 684 698 (Pubitemid 40608402)
11. J. Stallkamp, H.K. Ekenel, and R. Stiefelhagen Video-based face recognition on real-world data Proceedings IEEE International Conference on Computer Vision (ICCV) 2007 1 8
12. O. Arandjelović, and R. Cipolla Face recognition from video using the generic shape-illumination manifold Proceedings European Conference on Computer Vision (ECCV) vol. 4 2006 27 40
13. T.H. Cormen, C.E. Leiserson, and R.L. Rivest Introduction to Algorithms June 1990 MIT Press
14. B. Moghaddam, and A. Pentland Principal manifolds and probabilistic subspaces for visual recognition IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 24 6 2002 780 788 (Pubitemid 34669591)
15. K. Maeda, O. Yamaguchi, and K. Fukui Towards 3-dimensional pattern recognition Statistical Pattern Recognition 3138 August 2004 1061 1068
16. M.-H. Yang Kernel eigenfaces vs kernel fisherfaces: face recognition using kernel methods Proceedings IEEE International Conference on Automatic Face and Gesture Recognition (FGR) 2002 215 220
17. J. Lu, K.N. Plataniotis, and A.N. Venetsanopoulos A kernel machine based approach for multi-view face recognition Proceedings IEEE International Conference on Image Processing (ICIP) 2002 265 268
18. K. Lee, M. Ho, J. Yang, and D. Kriegman Video-based face recognition using probabilistic appearance manifolds Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) vol. 1 2003 313 320
19. T.-K. Kim, O. Arandjelović, and R. Cipolla Boosted manifold principal angles for image set-based recognition Pattern Recognition 40 9 2007 2475 2484 (Pubitemid 46669592)
20. G. Shakhnarovich, J.W. Fisher, and T. Darrel Face recognition from long-term observations Proceedings European Conference on Computer Vision (ECCV) vol. 3 2002 851 868
21. O. Arandjelović, G. Shakhnarovich, J. Fisher, R. Cipolla, and T. Darrell Face recognition with image sets using manifold density divergence Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) vol. 1 2005 581 588
22. R. Gross, J. Yang, and A. Waibel Growing Gaussian mixture models for pose invariant face recognition Proceedings IEEE International Conference on Pattern Recognition (ICPR) vol. 1 2000 1088 1091
23. J. Dahmen, D. Keysers, H. Ney, and M.O. Güld Statistical image object recognition using mixture densities Journal of Mathematical Imaging and Vision 14 3 2001 285 296 (Pubitemid 32638805)
24. M.E. Tipping, and C.M. Bishop Probabilistic principal component analysis Journal of the Royal Statistical Society 61 3 1999 611 622
25. P. Grünwald The Minimum Description Length Principle 2007 MIT Press
26. P. Viola, and M. Jones Robust real-time face detection International Journal of Computer Vision (IJCV) 57 2 2004 137 154
27. H. Wang, S.Z. Li, and Y. Wang Face recognition under varying lighting conditions using self quotient image Proceedings IEEE International Conference on Automatic Face and Gesture Recognition (FGR) 2004 819 824
28. M. Everingham, and A. Zisserman Identifying individuals in video by combining generative and discriminative head models Proceedings IEEE International Conference on Computer Vision (ICCV) 2005
29. A.M. Martinez Recognizing imprecisely localized, partially occluded and expression variant faces from a single sample per class IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 24 6 2002 748 763 (Pubitemid 34669589)
30. O. Arandjelović, and R. Cipolla An information-theoretic approach to face recognition from face motion manifolds Image and Vision Computing (special issue on Face Processing in Video) 24 6 2006 639 647 (Pubitemid 43867831)