微型机与应用2012，Vol.31Issue(22)：35-37,3.
基于稀疏编码的人脸识别算法
Face recognition via sparse coding
徐东勋 1李超 1袁昌斌1
作者信息
- 1. 中国海洋大学信息科学与工程学院,山东青岛266100
- 折叠
摘要
Abstract
This paper mainly presents an approach to face recognition via sparse coding. Learn the basis function and parame-ters of the sparse representation's fitted distribution after applying sparse coding to ten natural images. In the process of face recognition, the basis function is used to get the images' sparse representation via sparse coding, followed by the fitted distribution function to get final image presentation. Multi-class linear SVM is chosen as the classifier to finish the recognition. The algorithm is applied to face datasets and the results show that it has high recognition correct rate.关键词
人脸识别/稀疏编码/多类线性SVM/循环ICAKey words
face recognition/sparse coding/multi-class linear SVM/reeursive ICA分类
信息技术与安全科学引用本文复制引用
徐东勋,李超,袁昌斌..基于稀疏编码的人脸识别算法[J].微型机与应用,2012,31(22):35-37,3.
