计算机工程与应用Issue(10)：21-26,6.DOI:10.3778/j.issn.1002-8331.1701-0335
基于有效光照估计的复杂光照人脸识别
Face recognition under complex illumination environment based on effective illumination estima-tion
摘要
Abstract
Illumination invariants extraction based on illumination estimation is an effective method to improve the perfor-mance of face recognition under complex illumination conditions. The past algorithms, estimating illumination from a digital image based on the slowly changing characteristic of light, are unable to obtain accurate illumination and illumination invariants. In this paper, based on the principle of imaging, the slowly changing characteristic of light, the complex illumi-nation environment, image fusion and smoothing filtering, an effective method for illumination estimation and illumination invariant extraction from a face image is proposed. The proposed algorithm can deal with the shadow edge well, and extract the illumination invariants containing many facial details, which is closer to the original facial features. The experimental results on the Yale B+and the CAS-PEAL-R1 face databases under complex illumination environment show that the proposed algorithm is effective.关键词
光照估计/光照不变量/人脸识别Key words
illumination estimation/illumination invariants/face recognition分类
信息技术与安全科学引用本文复制引用
程勇..基于有效光照估计的复杂光照人脸识别[J].计算机工程与应用,2017,(10):21-26,6.基金项目
国家自然科学基金(No.61305011) （No.61305011）
江苏省自然科学基金面上项目(No.BK20131342). （No.BK20131342）
