Abstract | ||
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This paper proposes a novel face recognition method based on discriminant analysis with Gabor tensor representation. Although the Gabor face representation has achieved great success in face recognition, its huge number of features often brings about the problem of curse of dimensionality. In this paper, we propose a 3rd-order Gabor tensor representation derived from a complete response set of Gabor filters across pixel locations and filter types. 2D discriminant analysis is then applied to unfolded tensors to extract three discriminative subspaces. The dimension reduction is done in such a way that most useful information is retained. The subspaces are finally integrated for classification. Experimental results on FERET database show promising results of the proposed method. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1007/978-3-540-74549-5_10 | ICB |
Keywords | Field | DocType |
gabor filter,feret database,novel face recognition method,face recognition,discriminant analysis,gabor face representation,gabor tensor representation,complete response,discriminative subspaces,dimension reduction,curse of dimensionality | Computer vision,Facial recognition system,Dimensionality reduction,Tensor,Pattern recognition,Computer science,Gabor wavelet,Curse of dimensionality,Artificial intelligence,Linear discriminant analysis,FERET database,Discriminative model | Conference |
Volume | ISSN | ISBN |
4642 | 0302-9743 | 3-540-74548-3 |
Citations | PageRank | References |
19 | 0.67 | 41 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhen Lei | 1 | 3613 | 157.95 |
Rufeng Chu | 2 | 560 | 27.44 |
Ran He | 3 | 1790 | 108.39 |
Shengcai Liao | 4 | 2582 | 98.34 |
Stan Z. Li | 5 | 8951 | 535.26 |