基于相频特性的具有光照鲁棒的人脸识别研究  

Research on Face Recognition with Robustness to Illumination Change Based on Phase-frequency Characteristic

作　　者：滕云[1] 贺春林[1] 汤永斌[2] 

机构地区：[1]西华师范大学计算机学院,南充637002 [2]南充职业技术学院计算机科学系,南充637000

出　　处：《计算机科学》2010年第8期290-293,共4页Computer Science

基　　金：四川省教育厅重点科研项目(08ZA018);校级科研项目(06A002)资助

摘　　要：传统人脸识别对人脸图像光照要求与人脸训练库差异不大,这提高了人脸识别系统运行的环境条件,限制了应用范围。为了降低人脸识别对环境条件的要求,克服光照对人脸识别的影响,分析了人脸图像的相频特性与光照的无关性,提出了基于相频特性的人脸识别,保留了人脸之间的可区分性。由于人脸之间可区分的信息量较少,运用最小非零特征向量作为人脸特征。实验仿真表明,与传统方法相比,提出的基于相频特性的人脸识别对光照变化具有鲁棒性。The traditional face recognition method has high requirement to the face image to be recognized and require that there are little illumination differences between the face image acquired and the image in the training database, which restrict the environmental condition in which the face recognition system is operated, thus restrict the application of face recogntion. In order to lessen the requirement of environmental condition in the face recognition and overcome the effect of illumination to the face recognition, the paper analyzed the amplitude-frequency characteristic and phase frequency characteristic and put forward the illumination normalized face recognition method in the frequency domain. By normalization, the illumination between the image acquired and the image in the training database is identical and also the distinguishable property of face image was preserved. Generally, the information of the differences among the face images is less, so this paper considered the minimum non-zero eigenvector as the face feature. By the experiment simulation, compared with the traditional face recognition method, the method put forward in this paper is robust to illumination change.

关 键 词：特征评估 相频特性 光照鲁棒 最小非零特征向量 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]