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Subspace evolution analysis for face representation and recognition

✍ Scribed by Huahua Wang; Yue Zhou; Xinliang Ge; Jie Yang

Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
233 KB
Volume
40
Category
Article
ISSN
0031-3203

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✦ Synopsis

This paper develops a novel framework that is capable of dealing with small sample size problem posed to subspace analysis methods for face representation and recognition. In the proposed framework, three aspects are presented. The first is the proposal of an iterative sampling technique. The second is adopting divide-conquer-merge strategy to incorporate the iterative sampling technique and subspace analysis method. The third is that the essence of 2D PCA is further explored. Experiments show that the proposed algorithm outperforms the traditional algorithms.

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