Image sets alignment for Video-Based Face Recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 2626-2633

  Cui, Zhen ^a,b   Shan, Shiguang ^a   Zhang, Haihong ^c   Lao, Shihong ^c   Chen, Xilin ^a  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b HUAQIAO UNIVERSITY   (China)

^c OMRON Social Solutions Co Ltd   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AFFINE INVARIANT; EXPERIMENTAL EVALUATION; FACE IMAGES; GEOMETRIC STRUCTURE; IMAGE SETS; LOCAL MODEL; OFFLINE; PRINCIPAL ANGLES; REFERENCE IMAGE; REFERENCE SET; SMOOTHNESS CONSTRAINTS; VIDEO-BASED FACE RECOGNITION; YOUTUBE;

ALIGNMENT; COMPUTER VISION;

FACE RECOGNITION;

EID: 84866678650     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247982     Document Type: Conference Paper

References (36)

1. X. Liu, T. Chen. Video-based Face Recognition Using Adaptive Hidden Markov Models. In CVPR, 2003.
2. M. Kim, S. Kumar, V. Pavlovic, H. Rowley. Face Tracking and Recognition with Visual Constraints in Real-World Videos. In CVPR, 2008.
3. O. Arandjelović, G. Shakhnarovich, G. Fisher, J.R. Cipolla, and R. A. Zisserman. Face Recognition with Image Sets Using Manifold Density Divergence. In CVPR, 2005.
4. O. Arandjelović, R. Cipolla. A Manifold Approach to Face Recognition from Low Quality Video Across Illumination and Pose Using Implicit Super-Resolution. In ICCV, 2007.
5. T.K. Kim, O. Arandjelović, and R. Cipolla. Discriminative Learning and Recognition of Image Set Classes Using Canonical Correlations. TPAMI, 29(6), 2007.
6. T.K. Kim, J. Kittler, and R. Cipolla. Incremental Learning of Locally Orthogonal Subspaces for Set-based Object Recognition. In BMVC, 2006.
7. R. Wang, S. Shan, X. Chen and W. Gao. Manifold-Manifold Distance with Application to Face Recognition based on Image Set. In CVPR, 2008.
8. R. Wang and X. Chen. Manifold Discriminant Analysis. In CVPR, 2009.
9. M. Nishiyama, M. Yuasa, T. Shibata, T. Wakasugi, T. Kawahara, and O. Yamaguchi. Recognizing Faces of Moving People by Hierarchical Image-Set Matching. In CVPR, 2007.
10. H. Cevikalp and B. Triggs. Face Recognition Based on Image Sets. In CVPR, 2010.
11. Y. Hu, A.S. Mian, and R. Owens. Sparse Approximated Nearest Points for Image set Classification. In CVPR, 2011.
12. G. Shakhnarovich, J. W. Fisher, and T. Darrell. Face Recognition from Long-term Observations. In ECCV, 2002.
13. M. Nishiyama, O. Yamaguchi, and K. Fukui. Face Recognition with the Multiple Constrained Mutual Subspace Method. In AVBPA, 2005.
14. K. Fukui and O. Yamaguchi. The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition. In ACCV, 2007.
15. M.T. Harandi, C. Sanderson, S. Shirazi, and B.C. Lovell. Graph Embedding Discriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching. In CVPR, 2011.
16. R. Wang, S. Shan, X. Chen, J. Chen, and W. Gao. Maximal Linear Embedding for Dimensionality Reduction. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1776-1792, 2011.
17. T. Zhang, D. Tao, X. Li, and J. Yang. Patch Alignment for Dimensionality Reduction. IEEE Trans. Knowl. Data Eng., vol. 21, no. 9, pp. 1299-1313, Sep. 2009.
18. C. Wang and S. Mahadevan. Manifold Alignment Using Procrustes Analysis. In ICML, 2008.
19. J. Ham, I. Ahn, and D. Lee. Learning a Manifold -Constrained Map between Image Sets: Applications to Matching and Pose Estimation. In CVPR, 2006.
20. H. Gong, C. Pan, Q. Yang, H. Lu, and S. Ma. A Semi-Supervised Framework for Mapping Data to the Intrinsic Manifold. In ICCV, 2005.
21. S. Lafon, Y. Keller, and R. Coifman. Data Fusion and Multicue Data Matching by Diffusion Maps. TPAMI, 28(11), 2006.
22. J. Ham, D. Lee, and L. Saul. Semisupervised Alignment of Manifolds. In Proc. of the Tenth Int'l Workshop on Artificial Intelligence and Statistics, 2005, pp. 120-127.
23. L. Xiong, F. Wang, and C. Zhang. Semi-Definite Manifold Alignment. In ECML, 2007.
24. D. Zhai, B. Li, H. Chang, S. Shan, X. Chen, and W. Gao. Manifold Alignment via Corresponding Projections. In BMVC, 2010.
25. J.J. Verbeek. Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models. TPAMI 28(8), 2006.
26. C. Wang and S. Mahadevan. Manifold Alignment without Correspondence. In Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI), 2009, pp. 1273-1278.
27. S. Roweis and L. Saul. Nonlinear Dimensionally Reduction by Locally Linear Embedding. Science, 290(5500): 2323-2326, 2000.
28. H. Li, E. Kim, X. Huang, and L. He. Object Matching with a Locally Affine-Invariant Constraint. In CVPR, 2010.
29. Å. Björck and G.H. Golub. Numerical Methods for Computing Angles between Linear Subspaces. Mathematics, of Computation, 27(123): 579-594, 1973.
30. P.E. Gill, W. Murray, and M.H. Wright. Practical Optimization, Academic press, London, UK, 1981.
31. K.C. Lee, J. Ho, M. H. Yang, and D. Kriegman. Video-Based Face Recognition Using Probabilistic Appearance Manifolds. In CVPR, 2003.
32. R. Gross and J. Shi. The CMU Motion of Body (MoBo) database. Technical Report CMU-RI-TR-01-18, Robotics Institute, Carnegie Mellon University, June 2001.
33. M. Kim, S. Kumar, V. Pavlovic, and H. Rowley. Face Tracking and Recognition with Visual Constraints in Real-World Videos. In CVPR, 2008.
34. P. Viola and M. Jones. Robust Real-Time Face Detection. Int'l J. Computer Vision, vol. 57, no. 2, pp. 137-154, 2004.
35. O. Yamaguchi, K. Fukui, K.Maeda. Face Recognition Using Temporal Image Sequence. In International Conference on Automatic Face and Gesture Recognition, 1998.
36. R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker. Multi-PIE. In International Conference on Automatic Face and Gesture Recognition, 2008.