Illumination invariant feature selection for face recognition

	Illumination invariant feature selection for face recognition
	Liu, YZ ; Yao, HX ; Gao, W ; Zhao, DB
	2005
发表期刊	ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 2
ISSN	0302-9743
卷号	3768 页码:946-957
摘要	We propose a novel hybrid illumination invariant feature selection scheme for face recognition, which is a combination of geometrical feature extraction and linear subspace projection. By local geometry feature enhancement technique, neighborhood histogram equalization (NHE) in our experiment, some illegible edges due to week illumination will be enhanced effectively. Then we applied classic linear subspace projection methods, such as Principle Component Analysis (PCA), subspace Fisher Linear Discriminant (FLD), and Direct Fisher Linear Discriminant (DFLD), on these face images to decrease training samples' dimension as well as diminish the effect of noise introduced at the first step. Our methods are evaluated on an elaborate selected subset (with large illumination variation) of YaleB database. Experiments on this data set show that the NHE+DFLD yields the best performance. By using only 3-dimensional features (the original face images are 256 x 256), error rate can be decreased from 0.73 (by DFLD only) to 0.07.
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Imaging Science & Photographic Technology
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS记录号	WOS:000233775300082
出版者	SPRINGER-VERLAG BERLIN
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9967
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liu, YZ
作者单位	1.Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150001, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Liu, YZ,Yao, HX,Gao, W,et al. Illumination invariant feature selection for face recognition[J]. ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 2,2005,3768:946-957.
APA	Liu, YZ,Yao, HX,Gao, W,&Zhao, DB.(2005).Illumination invariant feature selection for face recognition.ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 2,3768,946-957.
MLA	Liu, YZ,et al."Illumination invariant feature selection for face recognition".ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 2 3768(2005):946-957.