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2005

A new face recognition method based on SVD perturbation for single example image per person

13 years 5 months ago
A new face recognition method based on SVD perturbation for single example image per person
At present, there are many methods for frontal view face recognition. However, few of them can work well when only one example image per class is available. In this paper, we present a new method based on SVD perturbation to deal with the 'one example image' problem and two generalized eigenface algorithms are proposed. In the first algorithm, the original image is linearly combined with its derived image gotten by perturbing the image matrix's singular values, and then principal component analysis (PCA) is performed on the joined images. In the second algorithm, the derived images are regarded as independent images that could augment training image set, and then PCA is performed on all the training images available, including the original ones and the derived ones. The proposed algorithms are compared with both the standard eigenface algorithm and the (PC)2 A algorithm which is proposed for addressing the `one example image' problem, on the well-known FERET databa...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2005
Where AMC
Authors Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
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