文章基本信息

标题：Face Recognition under Illumination Variation Using Shadow Compensation and Pixel Selection
作者：Sang-Il Choi
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2012
卷号：9
期号：4
页码：130
DOI：10.5772/52939
语种：English
出版社：SAGE Publications
摘要：We propose a robust face recognition method under illumination variation. By using shadow compensation methods, we restore the image of a facial image taken under arbitrary illumination into an image that is similar to the image taken with frontal illumination. Then we apply a pixel selection method to these restored images in order to reduce the noise components, which can interfere with the extraction of discriminant features for face recognition. The experimental results for the CMU-PIE, Yale B and Multi-PIE databases show that the proposed method results in the improvement of recognition performance under illumination variation.
关键词：Shadow compensation; Fourier analysis; feature extraction; discriminant analysis; pixel selection; noise reduction; face recognition