计算机应用研究2012，Vol.29Issue(3)：1123-1126,4.DOI:10.3969/j.issn.1001-3695.2012.03.088
基于DCT和线性回归的人脸识别
Face recognition based on DCT and linear regression
摘要
Abstract
The performance of face recognition was limited when linear methods were used directly in spatial domain because face images' own nonlinear structure when influenced by variations in illumination, pose, expression, and occlusion. To overcome the problem, this paper proposed a method based on discrete cosine transform and linear regression classification for face recognition. First it got the features in transform domain through discrete cosine transform, which purpose was to decrease the effect of variations in illumination, pose and so on, and employed then the fast and efficient linear regression method to produce the recognition results. The experiment results on several common face databases show that the proposed method is more robust in the case of real-time recognition is satisfied when confront these problems.关键词
人脸识别/线性回归/离散余弦变换Key words
face recognition/ linear regression/ DCT ( discrete cosine transform)分类
信息技术与安全科学引用本文复制引用
何林,潘静,庞彦伟..基于DCT和线性回归的人脸识别[J].计算机应用研究,2012,29(3):1123-1126,4.基金项目
国家自然科学基金资助项目(60975001,61172121) （60975001,61172121）
天津市应用基础与前沿技术项目(10JCYBJC07700) （10JCYBJC07700）
国家教育部博士点基金资助项目(20090032110028) （20090032110028）
国家教育部新世纪优秀人才支持计划项目(NCET-10-0620) （NCET-10-0620）
