Multilinear supervised neighborhood embedding of a local descriptor tensor for scene/object recognition

IEEE Transactions on Image Processing

Volumn 21, Issue 3, 2012, Pages 1314-1326

  Han, Xian Hua ^a   Chen, Yen Wei ^a   Ruan, Xiang ^b  

^a RITSUMEIKAN UNIVERSITY   (Japan)

^b OMRON CORPORATION   (Japan)

Author keywords

Local descriptor tensor; multilinear supervised embedding learning; normalized gradient; SIFT; tensor analysis

Indexed keywords

ANALYSIS ALGORITHMS; BENCHMARK DATABASE; DATA SETS; DISCRIMINANT FEATURE EXTRACTION; FACE DATA; ILLUMINATION VARIATION; IMAGE REPRESENTATIONS; LOCAL DESCRIPTORS; LOCAL FEATURE; LOCAL REGION; MULTILINEAR SUPERVISED EMBEDDING LEARNING; NEIGHBORHOOD STRUCTURE; NORMALIZED GRADIENT; OBJECT DATA; SCENE RECOGNITION; SIFT; TENSOR ANALYSIS; VIEW-BASED;

BENCHMARKING; IMAGE PROCESSING; TENSORS;

FEATURE EXTRACTION;

EID: 84863118594     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2168417     Document Type: Article

References (25)

1. P. N. Belhumeur, J. P. Hepanha, and D. J. Kriegman, "Eigenfaces versus Fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997. (Pubitemid 127762263)
2. A. Bosch, A. Zisserman, and X. Munoz, "Scene classification via pLSA," in Proc. ECCV, 2006, pp. 517-530. (Pubitemid 44029655)
3. L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001. (Pubitemid 32933532)
4. D. Cai, [Online]. Available: http://www.zjucadcg.cn/dengcai/Data/Yale/ results-new.html
5. D. Cai, Spectral regression: A regression framework for efficient regularized subspace learning 2009.
6. D. Cai, X. He, Y. Hu, J. Han, and T. Huang, "Learning a spatially smooth subspace for face recognition," in Proc. CVPR, 2007, pp. 1-7.
7. D. Cai, X. He, Y. Hu, J. Han, and T. Huang, "Spectral regression for efficient regularized subspace learning," in Proc. ICCV, 2007, pp. 1-8.
8. M. Casilescu and D. Terzopoulos, "Multilinear analysis of image ensembles: Tensorfaces," in Proc. ECCV, 2002, pp. 447-460.
9. C. Harris and M. Stephens, "A combined corner and edge detector," in Proc. Alvey Vis. Conf., 1998, pp. 147-151.
10. X. He, S. Yan, Y. Hu, P. Niyogi, and H.-J. Zhang, "Face recognition using Laplacianfaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 3, pp. 328-340, Mar. 2005. (Pubitemid 40377326)
11. H. Jegou, M. Douze, and C. Schmid, "Hamming embedding and weak geometric consistency for large scale image search," in Proc. ECCV, 2008, pp. 304-317.
12. S. Lazebnik, C. Schmid, and J. Ponce, "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories," in Proc. CVPR, 2006, pp. 2169-2178. (Pubitemid 44931582)
13. B. Leibe and B. Schiele, "Analyzing appearance and contour based methods for object categorization," in Proc. CVPR, 2003, pp. II-409-II-415.
14. D. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, Nov. 2004.
15. R. Marrr, P. Geurts, J. Piater, and L.Wehenkel, "Random subwindows for robust image classification," in Proc. CVPR, 2005, pp. 34-40. (Pubitemid 41275920)
16. X. M. Wang, C. Huang, X. Y. Fang, and J. G. Liu, "2DPCA versus 2DLDA: Face recognition using two-dimensional method," in Proc. Int. Conf. Artif. Intell. Comput. Intell., 2009, pp. 357-360.
17. S. A. Nene, S. K. Nayar, and H. Murase, Columbia object image library (COIL-100) Columbia Univ., New York, Tech. Rep. CUCS-006-96, 1996.
18. D. Nister and H. Stewenius, "Scalable recognition with a vocabulary tree," in Proc. CVPR, 2006, pp. 2161-2168. (Pubitemid 44931581)
19. A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope," Int. J. Comput. Vis., vol. 42, no. 3, pp. 145-175, May 2001. (Pubitemid 32680801)
20. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, "Lost in quantization: Improving particular object retrieval in large scale image databases," in Proc. CVPR, 2008, pp. 1-8.
21. M. Pontil and A. Verri, "Support vector machines for 3-D object recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 6, pp. 637-646, Jun. 1998. (Pubitemid 128744848)
22. T. Sim, S. Baker, and M. Bsat, The CMU pose, illumination, and expression (PIE) database of human faces Robot. Inst., Pittsburgh, PA, CMU-RI-TR-01-02, 2001.
23. J. Sivic and A. Zisserman, "Video google: A text retrieval approach to object matching in videos," in Proc. ICCV, 2003, pp. 1470-1477.
24. Y. Wang and S. Gong, "Tensor discriminant analysis for view-based object recognition," in Proc. ICPR, 2006, pp. 439-454.
25. S. Yan, D. Xu, Q. Yang, L. Zhang, X. Tang, and H.-J. Zhang, "Multilinear discriminant analysis for face recognition," IEEE Trans. Image Process., vol. 16, no. 1, pp. 212-220, Jan. 2007. (Pubitemid 46437483)