Combined learning of salient local descriptors and distance metrics for image set face verification

Proceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012

Volumn , Issue , 2012, Pages 294-299

  Sanderson, Conrad ^a,b   Harandi, Mehrtash T ^a,b   Wong, Yongkang ^a,b   Lovell, Brian C ^a,b  

^a CSIRO   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AFFINE HULL; DATA SETS; DESCRIPTORS; DISTANCE METRICS; FACE IMAGES; FACE REGIONS; FACE VERIFICATION; HOLISTIC MANNER; HUMAN VISUAL SYSTEM; IMAGE SETS; LOCAL DESCRIPTORS; LOCAL FEATURE; OPTIMAL MIXING; PRINCIPAL ANGLES;

SECURITY SYSTEMS;

EID: 84868222086     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AVSS.2012.23     Document Type: Conference Paper

References (36)

1. Y. Adini, Y. Moses, and S. Ullman. Face recognition: the problem of compensating for changes in illumination direction. IEEE Trans. Pattern Analysis and Machine Intelligence, 19(7):721 -732, 1997.
2. T. Ahonen, A. Hadid, and M. Pietikainen. Face description with local binary patterns: Application to face recognition. IEEE Trans. Pattern Analysis and Machine Intelligence, 28(12):2037-2041, 2006.
3. C. M. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
4. F. Cardinaux, C. Sanderson, and S. Bengio. User authentication via adapted statistical models of face images. IEEE Trans. Signal Processing, 54(1):361-373, 2006.
5. H. Cevikalp and B. Triggs. Face recognition based on image sets. In IEEE Conf. Computer Vision and Pattern Recogition (CVPR), pages 2567-2573, 2010.
6. S. Chen, S. Mau, M. Harandi, C. Sanderson, A. Bigdeli, and B. C. Lovell. Face recgonition from still images to video sequences: A local facial feature based framework. EURASIP Journal on Image and Video Processing, 2011.
7. M. Dubuisson and A. Jain. A modified Hausdorff distance for object matching. In Int. Conf. Pattern Recognition, pages 566-568, 2004.
8. M. Elad. Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing. Springer, 2010.
9. A. Fitzgibbon and A. Zisserman. Joint manifold distance: a new approach to appearance based clustering. In IEEE Conf. Computer Vision and Pattern Recog., pages 26-36, 2003.
10. Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. In European Conference on Computational Learning Theory, pages 23-37, 1995.
11. A. Hadid and M. Pietikäinen. Manifold learning for video-to-video face recognition. In Lecture Notes in Computer Science, volume 5707, pages 9-16, 2009.
12. J. Hamm and D. D. Lee. Grassmann discriminant analysis: a unifying view on subspace-based learning. In Int. Conf. Machine learning, pages 376-383, 2008.
13. M. Harandi, C. Sanderson, S. Shirazi, and B. Lovell. Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), pages 2705-2712, 2011.
14. M. T. Harandi, M. N. Ahmadabadi, and B. N. Araabi. Optimal local basis: A reinforcement learning approach for face recognition. International Journal of Computer Vision, 81(2):191-204, 2009.
15. X. He, S. Yan, Y. Hu, P. Niyogi, and H.-J. Zhang. Face recognition using Laplacianfaces. IEEE Trans. Pattern Analysis and Machine Intelligence, 27(3):328-340, 2005.
16. B. Heisele, P. Ho, J. Wu, and T. Poggio. Face recognition: component-based versus global approaches. Computer Vision and Image Understanding, 91(1-2):6-21, 2003.
17. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled faces in the wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst, 2007.
18. T. Kanade and A. Yamada. Multi-subregion based probabilistic approach toward pose-invariant face recognition. In IEEE Int. Symposium on Computational Intelligence in Robotics and Automation, pages 954-959, 2003.
19. T.-K. Kim, O. Arandjelović, and R. Cipolla. Boosted manifold principal angles for image set-based recognition. Pattern Recognition, 40(9):2475-2484, 2007.
20. T. Lee. Image representation using 2D Gabor wavelets. IEEE Trans. Pattern Analysis and Machine Intelligence, 18(10):959-971, 1996.
21. X. Li, K. Fukui, and N. Zheng. Image-set based face recognition using boosted global and local principal angles. In ACCV, Lecture Notes in Computer Science, volume 5994, pages 323-332, 2010.
22. S. Marcel, C. McCool, P. Matejka, T. Ahonen, J. Cernocky, et al. On the results of the first mobile biometry (MOBIO) face and speaker verification evaluation. In Lecture Notes in Computer Science, volume 6388, pages 210-225, 2010.
23. B. Moghaddam, T. Jebara, and A. Pentland. Bayesian face recognition. Pattern Recognition, 33(11):1771-1782, 2000.
24. A. Pentland, B. Moghaddam, and T. Starner. View-based and modular eigenspaces for face recognition. In IEEE Conf. Computer Vision and Pattern Recognition (CVPR), pages 84-91, 1994.
25. M. Riesenhuber and T. Poggio. Hierarchical models of object recognition in cortex. Nature Neuroscience, 2(11):1019-1025, 1999.
26. C. Sanderson. Armadillo: An open source C++ linear algebra library for fast prototyping and computationally intensive experiments. Technical report, NICTA, 2010.
27. C. Sanderson, S. Bengio, and Y. Gao. On transforming statistical models for non-frontal face verification. Pattern Recognition, 39(2):288-302, 2006.
28. C. Sanderson and B. C. Lovell. Multi-region probabilistic histograms for robust and scalable identity inference. In Lecture Notes in Computer Science, volume 5558, pages 199-208, 2009.
29. T. Serre, L.Wolf, S. Bileschi, M. Riesenhuber, and T. Poggio. Robust object recognition with cortex-like mechanisms. IEEE Trans. Pattern Analysis and Machine Intelligence, 29(3):411-426, 2007.
30. T. Sim, S. Baker, and M. Bsat. The CMU pose, illumination, and expression (PIE) database. In IEEE Conf. Automatic Face and Gesture Recognition, page 53, 2002.
31. K. Tieu and P. Viola. Boosting image retrieval. Int. J. Computer Vision, 56(1-2):17-36, 2004.
32. P. Viola and M. J. Jones. Robust real-time face detection. Int. J. Computer Vision, 57(2):137-154, 2004.
33. R.Wang, S. Shan, X. Chen, and W. Gao. Manifold-manifold distance with application to face recognition based on image set. In IEEE Conf. Computer Vision and Pattern Recognition, pages 1-8, 2008.
34. L. Wiskott, J.-M. Fellous, N. Krüger, and C. von der Malsburg. Face recognition by elastic bunch graph matching. IEEE Trans. Pattern Analysis and Machine Intelligence, 19(7):775-779, 1997.
35. L. Wolf and A. Shashua. Learning over sets using kernel principal angles. The Journal of Machine Learning Research, 4:913-931, 2003.
36. O. Yamaguchi, K. Fukui, and K.-i. Maeda. Face recognition using temporal image sequence. In IEEE Conf. Automatic Face and Gesture Recognition, pages 318-323, 1998.