计算机工程与应用2017，Vol.53Issue(14)：39-44,6.DOI:10.3778/j.issn.1002-8331.1703-0526
基于多特征融合的复杂光照人脸识别
Face recognition under complex illumination conditions based on multi-feature fusion
摘要
Abstract
Extracting illumination invariants from face image is an effective way to improve the robust-illumination per-formance of incomplete training sample face recognition. The previous algorithms extracting the high frequency characteri-stics of face image from different angles as illumination invariants can't get integral essential feature of face and have some limitations. In this paper, from the perspective of feature level and decision level fusion, a complex illumination face recognition method based on multi-feature fusion is proposed. The proposed algorithm can utilize the different advantages of several illumination invariants and improve the robust-illumination performance of face recognition under complex lighting environment. The experimental results on the Yale B +and the uncontrolled lighting face database show that the proposed algorithm is effective.关键词
光照不变量/多特征融合/主成分分析/人脸识别Key words
illumination invariants/multi-feature fusion/principal component analysis/face recognition分类
信息技术与安全科学引用本文复制引用
程勇..基于多特征融合的复杂光照人脸识别[J].计算机工程与应用,2017,53(14):39-44,6.基金项目
江苏省科技计划项目(No.BY2016008-06) （No.BY2016008-06）
闽江学院福建省信息处理与智能控制重点实验室开放课题资助(No. MJUKF201712) （No. MJUKF201712）
南京工程学院校级科研基金(No.PTKJ201604) （No.PTKJ201604）
南京信息工程大学江苏省气象传感网技术工程中心重点实验室开放基金(No.KDXS1503). （No.KDXS1503）
