Neighborhood discriminant projection for face recognition

Proceedings - International Conference on Pattern Recognition

Volumn 2, Issue , 2006, Pages 532-535

  You, Qubo ^a   Zheng, Nanning ^a   Du, Shaoyi ^a   Wu, Yang ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; ROBUSTNESS (CONTROL SYSTEMS); VECTOR QUANTIZATION;

IMAGE SPACE; NEIGHBORHOOD DISCRIMINANT PROJECTION (NDP); PROJECTED VECTORS;

FACE RECOGNITION;

EID: 34047230489     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.853     Document Type: Conference Paper

References (11)

1. P. N. Belhumeur, J. P. Hepanha, and D. J. Kriegman. Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Analysis and Machine Intelligence, 19(7):711-720, 1997.
2. M. Belkin and P. Niyogi. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in Neural Information Processing System 14, 2001.
3. X. He, D. Cai, S. Yan, and H.-J. Zhang. Neighborhood preserving embedding. In Proc. of the Tenth IEEE International Conference on Computer Vision, volume 2, pages 1208-1213, 2005.
4. X. He and P. Niyogi. Locality preserving projections. In Advances in Neural Information Processing System 16, 2003.
5. X. He, S. Yan, Y. Hu, and H.-J. Zhang. Face recognition using laplacianfaces. IEEE Trans. Pattern Analysis and Machine Intelligence, 27(3):328-340, 2005.
6. S. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290:2323-2326, 2000.
7. F. S. Samaria and A. C. Harter. Parameterisation of a stochastic model for human face identification. In Proc. of the 2nd IEEE Workshop on Applications of Computer Vision, pages 138-142, 1994.
8. L. K. Saul and S. Roweis. Think globally, fit locally: Unsupervised learning of low dimensional manifolds. Journal of Machine Learning Research, 4:119-155, 2003.
9. J. B. Tenenbaum, V. de Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319-2323, 2000.
10. M. Turk and A. Pentland. Eigenfaces for recognition. J. Cognitive Neuroscience, 3(1):71-86, 1991.
11. W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld. Face recognition: a literature survey. ACM Computing Surveys, 35(4):399-459, 2003.