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Face Recognition Using Histograms of Multi-resolution Segments Based on Discriminant Face Descriptor
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 Title & Authors
Face Recognition Using Histograms of Multi-resolution Segments Based on Discriminant Face Descriptor
Lee, Jang-yoon; Lee, Yonggeol; Choi, Sang-Il;
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 Abstract
We propose a face recognition method using the histograms of multi-resolution segments in order to effectively utilize the local information of faces. Since the variations in faces can occur in various sizes, the DFD method, which uses the histograms from the sub-regions of the same size, is not effective for obtaining local information of faces. In this paper, we first divide an image into several sub-regions and extract the DFD(Discriminant Face Descriptor) from each sub-region. By dividing each sub-region into several segments with multi-resolution and extracting histograms for each segment, we reduce the loss of local information in the process of recognition. The experimental results for the Yale B, AR, CAS-PEAL-R1 databases show that the proposed method improves the recognition performance compared to the existing DFD based method.
 Keywords
Face Recognition;Discriminant Face Descriptor;Multi-resolution Segmentation;Illumination Variation;
 Language
Korean
 Cited by
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