液晶与显示2017，Vol.32Issue(8)：650-655,6.DOI:10.3788/YJYXS20173208.0650
基于低秩特征脸与协同表示的人脸识别算法
Face recognition algorithm based on low-rank eigenface and collaborative representation
杨明中 1杨平先1
作者信息
- 1. 四川理工学院 自动化与信息工程学院,四川 自贡 643000
- 折叠
摘要
Abstract
For face recognition, the face image tend to get variations of expression, lighting, occlusion and pose. In the paper, we propose a face recognition algorithm based on low-rank eigenface and collaborative representation. In the algorithm, we firstly obtain the error images of the training images using the low-rank matrix recovery algorithm. Then, we calculate the feature vectors of the training images and the corresponding error images to constitute a feature dictionary respectively, and calculate collaborative representation of test image with feature dictionary. Finally, the test image was classified by the reconstruction error. Experimental results on AR and ORL databases show that the proposed face image recognition algorithm has a higher recognition rate and fast.关键词
人脸识别/低秩矩阵/特征脸/协同表示Key words
face recognition/low-rank matrix/eigenface/collaborative representation分类
信息技术与安全科学引用本文复制引用
杨明中,杨平先..基于低秩特征脸与协同表示的人脸识别算法[J].液晶与显示,2017,32(8):650-655,6.
