计算机工程与应用2017，Vol.53Issue(1)：147-152,6.DOI:10.3778/j.issn.1002-8331.1503-0296
有效用于人脸识别的光照不变特征表示算法
Efficient illumination-robust features representation algorithm for face recognition
摘要
Abstract
In the change illumination conditions which can not be controlled, the robustness of face recognition is a challenge in face recognition system. Concerning the illumination changes on the influence of the recognition rate in face recognition, a new face recognition algorithm for varying illumination environment is proposed according to the classic illumination invariant feature representation algorithm, which is based on Local Standard Deviation and its weighted form. Compared with the existed representative approaches, such as WF(Weber-Face), MSR(Multi Scale Retinex)and LN (Local Normalization), the novel algorithm can obtain higher recognition rate on the Extended Yale-B Database and the YALE Face Database when combined with the analysis of complete linear discriminant(Complete-Linear Discriminant Analysis, C-LDA)algorithm for feature extraction.关键词
光照不变特征表示/人脸识别/局部标准差Key words
illumination-robust features representation/face recognition/local standard deviation分类
信息技术与安全科学引用本文复制引用
孔锐,揭英达..有效用于人脸识别的光照不变特征表示算法[J].计算机工程与应用,2017,53(1):147-152,6.基金项目
广东省学科建设专项资金项目-科技创新（No.2013KJCX0023）；珠海市公共技术服务平台科技项目（No.2013D0501990013）。 （）
