Orthogonal Tensor Neighborhood Preserving Embedding for facial expression recognition

Pattern Recognition

Volumn 44, Issue 7, 2011, Pages 1497-1513

  Liu, Shuai ^a   Ruan, Qiuqi ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Dimensionality reduction; Facial expression recognition; Generalized tensor subspace model; Orthogonal Tensor Neighborhood Preserving Embedding (OTNPE); Orthonormal basis tensor

Indexed keywords

DIMENSIONALITY REDUCTION; FACIAL EXPRESSION RECOGNITION; GENERALIZED TENSOR SUBSPACE MODEL; ORTHOGONAL TENSORS; ORTHONORMAL BASIS;

ALGORITHMS; FACE RECOGNITION; FEATURE EXTRACTION; GESTURE RECOGNITION;

TENSORS;

EID: 79952195428     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.12.024     Document Type: Article

References (59)

1. M. Turk, A.P. Pentland, Face recognition using eigenfaces, in: IEEE Conference on Computer Vision and Pattern Recognition, 1991, pp. 586591.
2. M. Turk, and A.P. Pentland Eigenfaces for recognition Journal of Cognitive Neuroscience 3 1 1991 71 86
3. P.N. Belhumeur, J.P. Hespanha, and D.J. Kriegman Eigenfaces vs. Fisherfaces: recognition using class specific linear projection IEEE Transactions on Pattern Analysis and Machine Intelligence 19 7 1997 711 720 (Pubitemid 127762263)
4. J.B. Tenenbaum, V.D. Silva, and J.C. Langford A global geometric framework for nonlinear dimensionality reduction Science 290 2000 2319 2323 (Pubitemid 32041577)
5. S.T. Roweis, and L.K. Saul Nonlinear dimensionality reduction by locally linear embedding Science 290 2000 2323 2326 (Pubitemid 32041578)
6. M. Belkin, P. Niyogi, Laplacian Eigenmaps and spectral techniques for embedding and clustering, in: Proceedings of the Conference on Advances in Neural Information Processing Systems, 2001, pp. 585591.
7. X.F. He, D. Cai, S.C. Yan, H.J. Zhang, Neighborhood preserving embedding, in: Proceedings of the IEEE International Conference on Computer Vision, 2005, pp. 12081213. (Pubitemid 44042318)
8. X.F. He, P. Niyogi, Locality preserving projections, in: Proceedings of the Conference on Advances in Neural Information Processing Systems, 2003, pp. 153160.
9. S. Yan, D. Xu, B. Zhang, H.J. Zhang, Q. Yang, and S. Lin Graph embedding and extension: a general framework for dimensionality reduction IEEE Transactions on Pattern Analysis and Machine Intelligence 29 1 2007 40 51 (Pubitemid 46415944)
10. H. Chen, H. Chang, T. Liu, Local discriminant embedding and its variants, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, pp. 846853.
11. S.B. Chen, H.F. Zhao, M. Kong, and B. Luo 2D-LPP: a two-dimensional extension of locality preserving projections Neurocomputing 70 46 2007 912 921 (Pubitemid 46043990)
12. J. Yang, D. Zhang, A. Frangi, and J. Yang Two dimensional pca: a new approach to appearance-based face representation and recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 26 1 2004 131 137
13. M. Li, and B.Z. Yuan 2D-LDA: a statistical linear discriminant analysis for image matrix Pattern Recognition Letters 26 5 2005 527 532 (Pubitemid 40319616)
14. D. Hu, G. Feng, and Z. Zhou Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition Pattern recognition 40 1 2007 339 342 (Pubitemid 44486296)
15. L.D. Lathauwer, B.D. Moor, and J. Vandewalle A multilinear singular value decomposition SIAM Journal on Matrix Analysis and Applications 21 4 2000 1253 1278 (Pubitemid 33217068)
16. L. Lathauwer, B. Moor, and J. Vandewalle On the best rank-1 and rank-(R1, R2,..., RN) approximation of high-order tensors SIAM Journal on Matrix Analysis and Applications 21 4 2000 1324 1342 (Pubitemid 33217072)
17. T. Kolda Orthogonal tensor decompositions SIAM Journal on Matrix Analysis and Applications 23 1 2001 243 255
18. J. Xia, D.Y. Yeung, G. Dai, Local discriminant embedding with tensor representation, in: Proceedings of the IEEE International Conference on Image Processing, 2006, pp. 929932.
19. G. Dai, D. Yeung, Tensor embedding methods, in: Proceedings of the National Conference on Artificial Intelligence, 2006, pp. 330335. (Pubitemid 44705306)
20. J. Ye Generalized low rank approximations of matrices Machine Learning 61 13 2005 167 191 (Pubitemid 43049367)
21. S.C. Yan, D. Xu, Q. Yang, L. Zhang, X.O. Tang, H.J. Zhang, Discriminant analysis with tensor representation, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, pp. 526532.
22. W. Zhang, Z.C. Lin, and X.O. Tang Tensor linear Laplacian discrimination (TLLD) for feature extraction Pattern Recognition 42 9 2009 1941 1948
23. X.F. He, D. Cai, P. Niyogi, Tensor subspace analysis, in: Neural Information Processing Systems, 2005, pp. 499506.
24. D. Tao, X. Li, X. Wu, and S. Maybank General tensor discriminant analysis and Gabor features for gait recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 29 6 2007 1700 1715
25. X.L. Li, S. Lin, S.C. Yan, and D. Xu Discriminant locally linear embedding with high-order tensor data IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics 38 2 2008 342 352 (Pubitemid 351479557)
26. A. Shashua, A. Levin, Linear image coding for regression and classification using the tensor-rank principle, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001, pp. 4249.
27. M.A.O. Vasilescu, Multilinear independent components analysis, in: IEEE International Conference on Computer Vision and Pattern Recognition, 2005, pp. 547553.
28. M.A.O. Vasilescu, Human motion signatures: analysis, synthesis, recognition, in: Proceedings of the International Conference on Pattern Recognition, 2002, pp. 456460. (Pubitemid 44844525)
29. M.A.O. Vasilescu, D. Terzopoulos, Multilinear analysis of image ensembles: tensorfaces, in: Proceedings of the European Conference on Computer Vision, 2002, pp. 447460.
30. R. Costantini, L. Sbaiz, and S. Susstrunk Higher order SVD analysis for dynamic texture synthesis IEEE Transactions on Image Processing 17 1 2008 42 52
31. H. Wang, N. Ahuja, Rank-R approximation of tensors using image as-matrix representation, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, pp. 346353.
32. D. Xu, S. Yan, L. Zhang, H. Zhang, Z. Liu, H. Shum, Concurrent subspaces analysis, in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005, pp. 203208.
33. H. Wang, N. Ahuja, Compact representation of multidimensional data using tensor rank-one decomposition, in: Proceedings of the International Conference on Pattern Recognition, 2004, pp. 4447.
34. J. Ye, R. Janardan, Q. Li, GPCA: an efficient dimension reduction scheme for image compression and retrieval, in: Proceedings of the ACM SIGKDD Conference, 2004, pp. 354363. (Pubitemid 40114945)
35. J. Ye, R. Janardan, Q. Li, Two-dimensional linear discriminant analysis, in: Proceedings of the Conference on Advances in Neural Information Processing Systems, 2004, pp. 15691576.
36. D. Zhao, Z. Lin, R. Xiao, X. Tang, Linear Laplacian discrimination for feature extraction, in: Proceedings of the International Conference on Computer Vision and Pattern Recognition, 2007.
37. D. Cai, X.F. He, J.W. Han, and H.J. Zhang Orthogonal laplacianfaces for face recognition IEEE Transactions on Image Processing 15 7 2006 3608 3614 (Pubitemid 44615155)
38. Y. Li, D. Luo, and S. Liu Orthogonal discriminant linear local tangent space alignment for face recognition Neurocomputing 72 46 2009 1319 1323
39. H. Hu Orthogonal Neighborhood preserving discriminant analysis for face recognition Pattern Recognition 41 6 2008 2045 2054
40. M. Lyons, S. Akamatsu, M. Kamachi, J. Gyoba, Coding facial expressions with Gabor wavelets, in: Proceedings of the Third IEEE Conference on Automatic Face and Gesture Recognition, Nara, Japan, 1998, pp. 200205.
41. T. Kanade, J. Cohn, Y. Tian, Comprehensive database for facial expression analysis, in: Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, France, 2000, pp. 4653.
42. P. Keltner, D. Ekman, Facial expression of emotion, in: M. Lewis, J.M. Havilland (Eds.), Handbooks of Emotions, 2000, pp. 236249.
43. P. Ekman, and W.V. Friesen Facial Action Coding System Investigator's Guide 1978 Consulting Psychologist Press Palo Alto, CA
44. P. Ekman, W. Friesen, J. Hager, Facial Action Coding System, Research Nexus, Network Research Information, Salt Lake City, UT, 2002.
45. M. Pantic, and L.J.M. Rothkrantz Automatic analysis of facial expressions: the state of the art IEEE. Pattern Analysis and Machine Intelligence 22 12 2000 1424 1445 (Pubitemid 32088469)
46. B. Fasela, and J. Luettin Automatic facial expression analysis: a survey Pattern Recognition 36 2003 259 275
47. D. Liang, J. Yang, Z.L. Zheng, and Y.C. Chang A facial expression recognition system based on supervised locally linear embedding Pattern Recognition Letters 26 17 2005 2374 2389 (Pubitemid 41394294)
48. C. Shan, S. Gong, P.W. McOwan, Appearance Manifold of Facial Expression, in: Proceedings of the ICCV Workshop on HCI, 2005.
49. C. Hu, Y. Chang, R. Feris, M. Turk, Manifold based analysis of facial expression, in: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04), 2004, pp. 81.
50. Y. Chang, C. Hu, M. Turk, Manifold of Facial Expression, in: Proceedings of the International Workshop on Analysis and Modeling of Faces and Gestures, 2003.
51. M. Bartlett, Face image analysis by unsupervised learning and redundancy reduction, PhD thesis, University of California, San Diego, 1998.
52. L.Z. Zhao, W. Gao, and X.L. Chen Eigenface dimension variant classication and its application in expression recognition Chinese Journal of Computers 22 6 1999 627 632
53. D. Abboud, F. Davoine, Appearance factorization based facial expression recognition and synthesis, in: ICPR (4), 2004, pp. 163166.
54. H. Wang, K.Q. Wang, Affective interaction based on Person-Independent Facial Expression Space.
55. S. Bashyal, and G.K. Venayagamoorthy Recognition of facial expressions using Gabor wavelets and learning vector quantization Engineering Applications of Artificial Intelligence 21 7 2008 1056 1064
56. J. Wang, and L.J Yin Static topographic modeling for facial expression recognition and analysis Computer Vision and Image Understanding 108 2007 19 34 (Pubitemid 47333389)
57. Z. Zhang Feature-based facial expression recognition: sensitivity analysis and experiments with a multi-layer perceptron International Journal of Pattern Recognition and Articial Intelligence 13 6 1999 893 911 (Pubitemid 30504428)
58. M.J. Lyons, J. Budynek, and S. Akamatsu Automatic classification of single facial images IEEE Transactions on Pattern Analysis and Machine Intelligence 21 12 1999 1357 1362 (Pubitemid 30568926)
59. G. Guo, and C.R. Dyer Learning from examples in the small sample case: face expression recognition IEEE Transactions on Systems, Man, and CyberneticsPart B: Cybernetics 35 3 2005 477 488 (Pubitemid 40794859)