Face sequence recognition using Grassmann Distances and Grassmann Kernels

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2012, Pages

  Shigenaka, Ryosuke ^a   Raytchev, Bisser ^a   Tamaki, Toru ^a   Kaneda, Kazufumi ^a  

^a HIROSHIMA UNIVERSITY   (Japan)

Author keywords

Canonical Angles; Canonical Correlations; Face Sequence Recognition; Grassmann Distance; Grassmann Kernel; Grassmann Manifold; Subspace Methods

Indexed keywords

CANONICAL ANGLES; CANONICAL CORRELATIONS; FACE SEQUENCES; GRASSMANN DISTANCE; GRASSMANN KERNEL; GRASSMANN MANIFOLD; SUB-SPACE METHODS;

CONVEX OPTIMIZATION; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

FACE RECOGNITION;

EID: 84865063002     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2012.6252731     Document Type: Conference Paper

References (23)

1. G. Shakhnarovich, J.W. Fisher, and T. Darrel, "Face Recognition from Long-Term Observations," in Proc. European Conf. Computer Vision (ECCV), pp. 851-868, 2002.
2. O. Arandjelovic, G. Shakhnarovich, J. Fisher, R. Cipolla, "Face Recognition with Image Sets Using Manifold Density Divergence," in Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), pp. 581-588, 2005.
3. S. Satoh, "Comparative Evaluation of Face Sequence Matching for Content-Based Video Access," in Proc. Int. Conf. Automatic Face and Gesture Recognition, pp. 163-168, 2000.
4. B. Raytchev and H. Murase, "Unsupervised Recognition of Multi-View Face Sequences Based on Clustering with Attraction and Repulsion," Computer Vision and Image Understanding, Vol. 91, No. 1-2, pp. 22-52, 2003.
5. A. Bjorck and G.H. Golub, "Numerical Methods for Computing Angles between Linear Subspaces," Math Computation, vol.27, no. 123, pp. 579-594, 1973.
6. G.H. Golub and C.F. van Loan, Matrix Computations, Johns Hopkins University Press, 3rd edition.
7. Yamaguchi, K. Fukui, and K. Maeda, "Face Recognition Using Temporal Image Sequence," in Proc. Int. Conf. Automatic Face and Gesture Recognition, pp. 318-323, 1998.
8. H. Sakano and N. Mukawa, "Kernel mutual subspace method for robust facial image recognition," in Proc. Int. Conf. on Knowledge-Based Intell. Eng. Sys. And App. Tech., pp. 245-248, 2000.
9. K. Fukui and O. Yamaguchi, "Face Recognition Using Multi-Viewpoint Pattern for Robot Vision," in Proc. Int. Symp. Robotics Research, pp. 192-201, 2003.
10. M. Nishiyama, O. Yamaguchi, and K. Fukui, "Face Recognition with the Multiple Constrained Mutual Subspace Method," in Proc. 5th International Conference on Audio- and Video-based Biometric Person Authentication (AVBPA), pp. 71-80, 2005.
11. T.-K. Kim, O. Arandjelovic, and R. Cipolla, "Learning over Sets Using Boosted Manifold Principal Angles (BoMPA)," in Proc. British Machine Vision Conf., pp. 779-788, 2005.
12. T.-K. Kim, J. Kittler, and R. Cipolla, "Discriminative learning and recognition of images set classes using canonical correlations," in IEEE Trans. Pattern Anal. Mach. Intell. (PAMI), 29, 1005-1018, 2007.
13. J. Hamm and D. D. Lee, "Grassmann discriminant analysis: A unifying view on subspace-based learning," in Proc. 25th Int. Conf. on Machine Learning, pp. 376-383, 2008.
14. Y. C. Wong, "Differential geometry of Grassmann manifolds," in Proc. of the Nat. Acad. of Sci., Vol. 57, pp. 589-594, 1967.
15. A. Edelman, T.A. Aris and S.T. Smith, "The geometry of algorithms with orthgonality constrains," SIAM J. Matrix Anal. Appl., 20 (2), pp. 303-353, 1998.
16. T. Wang and P. Shi, "Kernel Grassmannian distances and discriminant analysis for face recognition from image sets," Pattern Recognition Letters, Vol. 30, pp. 161-165, 2009.
17. C.M.Bishop, Pattern recognition and Machine Learning, Springer-Verlag, 2006.
18. C. McCool and S. Marcel, "MOBIO Database for the ICPR 2010 Face and Speech Competition," an IDIAP Research Institute Communication, Idiap-Com-02-2009, 2009.
19. J.S. Taylor and N. Cristianini, Kernel Methods for Pattern Analysis, Cambridge University Press, 2004.
20. C. Cortes and V. Vapnik, "Support Vector Networks," Machine Learning, 20, pp. 273-297, 1995.
21. S.Watanabe and N. Pakvasa, "Subspace Method of Pattern Recognition," 1st, Int. Joint Conf. on Pattern Recognition, pp. 25-32, 1973.
22. M. Turk and A. Pentland, "Eigenfaces for Recognition," Journal of Congnitive Neuroscience, vol. 3, no. 1, pp. 71-86, 1991.
23. P.N.Belhumeur, J.P.Hespanha, and D.J.Kriegman, "Eigenfaces versus Fisherfaces: Recognition Using Class Specific Linear Projection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 711-720, 1997.