计算机工程与应用2011，Vol.47Issue(24)：143-145,3.DOI:10.3778/j.issn.1002-8331.2011.24.040
基于状态估计的张量分解人脸识别方法
Face recognition method based on state estimation and tensorfaces algorithm
摘要
Abstract
Tensorfaces algorithm is an effective mathematical model which can analyze and express the frames of multi-view face images,but there are some problems of multi-linear analysis method with nonlinear changes of face images. So an improved tensorfaces algorithm is proposed for multi-view face recognition which integrates state estimation.The training face images from different states are decomposed to some eigenspaces (views, illuminations and expressions) by PCA. Then the testing face images can be projected into each eigenspace and estimate the states of the unknown images by the closest classifier.lt can recognize the faces by tensorface of every image which is obtained by the tensorfaces algorithm.Ex-perimental results show that mis method outperforms the original tensorfaces method.关键词
张量脸/状态估计/人脸识别/最近邻分类器Key words
tensorfaces/state estimation/face recognition/closest classifier分类
信息技术与安全科学引用本文复制引用
梅蓉蓉,吴小俊,冯振华..基于状态估计的张量分解人脸识别方法[J].计算机工程与应用,2011,47(24):143-145,3.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60572034,No.60973094) （the National Natural Science Foundation of China under Grant No.60572034,No.60973094）
2006年教育部新世纪优秀人才计划项目(No.NCET-06-0487) （No.NCET-06-0487）
江苏省自然科学基金(No.BK2006081) （No.BK2006081）
江南大学创新团队研究计划项目(No.JNIRT0702). （No.JNIRT0702）
