.png){kind=icon}
返回
An improved collaborative representation based classification with regularized least square (CRC-RLS) method for robust face recognition
.png){kind=icon}
PRE
AI
DOI：10.1016/j.neucom.2015.06.117.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Fast and robust face recognition is a challenging research topic in the field of computer vision. A recently proposed Collaborative Representation based Classification with Regularized Least Square (CRC-RLS) algorithm shows very lower computational cost but with poor robustness. In order to solve this problem, we propose an improved CRC-RLS method. Firstly, the image Gabor features were extracted and used to construct initial dictionary. Secondly, we learn a discriminative dictionary by a label consistent K-SVD (LC-KSVD) method which combines the sparse coding error with the reconstruction error and the classification error. Finally, I-2-norm of coding residual in CRC-RLS is computed and the classification problem is transformed into solving linear programing problem. Experiments on two benchmark face databases with variations of illumination, expression, occlusion show that the proposed method can achieve high classification accuracy and has a very low time-consuming. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Face recognition
Gabor wavelet
Dictionary learning
K-SVD
Collaborative representation
期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
机构
引用论文
Fast and robust face recognition via coding residual map learning based adaptive masking.png)
PATTERN RECOGNITION
OAAI
PATTERN RECOGNITIONIF7.6
OAAI分享收藏Copper ferrocyanide loaded track etched membrane: an effective cesium adsorbent负载亚铁氰化铜的径迹蚀刻膜: 一种有效的铯吸附剂
PREAI
分享收藏
A micromachined efficient parametric array loudspeaker with a wide radiation frequency band具有宽辐射频带的微机械高效参量阵列扬声器
PREAI
分享收藏分享收藏Face recognition using discriminant sparsity neighborhood preserving embedding基于判别稀疏邻域保持嵌入的人脸识别
PREAI
分享收藏分享收藏
查看更多内容