Local binary pattern of maximum Gabor response: A novel face representation
Cai, Xinyuan; Zhang, Rongguo; Xiao, Baihua; Wang, Chunheng; Wang.Chunheng
Conference Name2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings
Source PublicationChinese Conference on Pattern Recognition (CCPR)
Conference Date2010
Conference PlaceBeijing,China
AbstractIn this paper, we proposed a novel face representation method: Local Binary Pattern of Maximum Gabor Response. This
method is inspired by the HMAX model in biological vision. We first use multi-scales &multi-orientations Gabor filters to simulate
the response of simple cells in visual cortex. For a given scale, we get the maximum responses maps from all orientations. Then LBP
operator is used to describe the local features, and spatial pyramids are constructed to describe the spatial distribution information of
face images. The proposed method is applied to face recognition, and the experiment results on ORL and FERET databases show
that, compared with the state of art methods, the proposed algorithm still could achieve the comparable recognition rate with lower
dimensional features.
Keyword生物视觉 最大gabor响应 二元模式 空间金字塔
Indexed ByEI
Document Type会议论文
Corresponding AuthorWang.Chunheng
Recommended Citation
GB/T 7714
Cai, Xinyuan,Zhang, Rongguo,Xiao, Baihua,et al. Local binary pattern of maximum Gabor response: A novel face representation[C],2010:774-778.
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