文章基本信息

标题：Local Illumination Normalization and Facial Feature Point Selection for Robust Face Recognition
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作者：Song HAN ; Jinsong KIM ; Cholhun KIM 等
期刊名称：Journal of Mobile, Embedded and Distributed Systems
印刷版ISSN：2067-4074
出版年度：2013
卷号：5
期号：1
页码：6-10
语种：English
出版社：Journal of Mobile, Embedded and Distributed Systems
摘要：Face recognition systems must be robust to the variation of various factors such as facial expression, illumination, head pose and aging. Especially, the robustness against illumination variation is one of the most important problems to be solved for the practical use of face recognition systems. Gabor wavelet is widely used in face detection and recognition because it gives the possibility to simulate the function of human visual system. In this paper, we propose a method for extracting Gabor wavelet features which is stable under the variation of local illumination and show experiment results demonstrating its effectiveness.
关键词：Face recognition, Illumination normalization, Robustness, Gabor wavelet, Feature point, ICA, HMM, AAM;I.4.8; I.5.4