Linear and Nonlinear Feature Extraction Approaches for Face Recognition-Reference-Cited by-同舟云学术

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Linear and Nonlinear Feature Extraction Approaches for Face Recognition

Published:2011 Issue: Volume: Page:485-514
ISSN:
Container-title:Pattern Recognition, Machine Intelligence and Biometrics
language:
Short-container-title:

Author:

Chen Wensheng,Yuen Pong C.,Fang Bin,Wang Patrick S. P.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-22407-2_19.pdf

Reference52 articles.

1. Brunelli R, Poggio T (1993) Face Recognition: Feature Versus Templates. IEEE T PAMI, 15(10): 1042–1052

2. Turk M and Pentland A (1991) Eigenfaces For Recognition. J Cog Neuroscience, 3(1): 71–86

3. Belhumeur P N, Hespanha J P, Kriegman D J (1997) Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection. IEEE T PAMI, 19(7): 711–720

4. Chen L, Liao H, Ko M et al (2000) A New LDA-based Face Recognition System, Which Can Solve the Small Sample Size Problem. Patt Recog, 33(10): 1713–1726

5. Yu H and Yang J (2001) A Direct LDA Algorithm for High-dimensional Data-with Application to Face Recognition. Patt Recog, 34(10): 2067–2070

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3D Face Recognition using Kernel-based PCA Approach;Lecture Notes in Electrical Engineering;2018-08-28

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