Local binary pattern of maximum Gabor response: A novel face representation

CASIA OpenIR > 复杂系统管理与控制国家重点实验室 > 影像分析与机器视觉

	Local binary pattern of maximum Gabor response: A novel face representation
	Cai, Xinyuan; Zhang, Rongguo; Xiao, Baihua; Wang, Chunheng; Wang.Chunheng
	2010
会议名称	2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings
会议录名称	Chinese Conference on Pattern Recognition (CCPR)
页码	774-778
会议日期	2010
会议地点	Beijing,China
摘要	In 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.
关键词	生物视觉最大gabor响应二元模式空间金字塔
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5119
专题	复杂系统管理与控制国家重点实验室_影像分析与机器视觉
通讯作者	Wang.Chunheng
推荐引用方式 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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