Face recognition based on superposed collaborative representation based classification

Guo-jun LIN; Xing-guo JIANG; Ming-zhong YANG; Zhao-fei LI; Mei XIE

doi:10.3788/YJYXS20203502.0161

您当前的位置：

首页 >

文章列表页 >

Face recognition based on superposed collaborative representation based classification

Image Processing | 更新时间：2020-07-16

- Face recognition based on superposed collaborative representation based classification
- Chinese Journal of Liquid Crystals and Displays Vol. 35, Issue 2, Pages: 161-166(2020)
- 作者机构：
  
  1.四川轻化工大学自动化与信息工程学院, 四川自贡 643000
  2.成都工业学院电子工程学院, 四川成都 611730
  3.电子科技大学电子工程学院, 四川成都 611731
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20203502.0161
  CLC： TP391
- Received：21 June 2019，
  
  Revised：12 October 2019，
  
  Accepted：12 October 2019，
  
  Published：05 February 2020
- 稿件说明：
移动端阅览
Guo-jun LIN, Xing-guo JIANG, Ming-zhong YANG, et al. Face recognition based on superposed collaborative representation based classification[J]. Chinese journal of liquid crystals and displays, 2020, 35(2): 161-166.
DOI：

Guo-jun LIN, Xing-guo JIANG, Ming-zhong YANG, et al. Face recognition based on superposed collaborative representation based classification[J]. Chinese journal of liquid crystals and displays, 2020, 35(2): 161-166. DOI： 10.3788/YJYXS20203502.0161.

摘要

针对叠加稀疏表示分类（SSRC）计算复杂度大的问题，利用协同表示分类（CRC）的计算复杂度比SRC少得多且识别率相似于SRC的优点，提出基于叠加协同表示分类（SCRC）的人脸识别。基于原型和变化的表示模型，在SCRC中，利用类质心和样本与质心的差异来构造成字典，可以显著地改善CRC的性能。实验结果表明，利用基于原型和变化的表示模型，协同表示在人脸识别中能起作用，甚至字典基在非受控和每类只有一个样本的条件下被汇集，协同表示也具有很好的性能。与其他算法相比，SCRC在大幅降低计算复杂度的同时保证了识别率。

Abstract

For the problem of the high computational complexity of the superposed sparse representation based classification (SSRC)

the advantages of the collaborative representation based classification (CRC) that has significantly less complexity than SRC is used and its recognition rate is similar to SRC. The face recognition based on superposed collaborative representation based classification (SCRC) is proposed. Based on a prototype plus variation model

the dictionary is assembled by the class centroids and the sample-to-centroid differences in the SCRC

which can leads to a substantial improvement on CRC. The experimental results show that

if the proposed prototype plus variation representation model is applied

the collaborative representation plays a crucial role in face recognition

and performs well even when the dictionary bases are collected under uncontrolled conditions and only a single sample per classes is available. Compared with the other algorithms

SCRC greatly reduces the computational complexity and ensures the recognition rates.

关键词

Keywords

references

N B ZHU , S T LI . A kernel-based sparse representation method for face recognition . Neural Computing and Applications , 2014 . 24 ( 3/4 ): 845 - 852 . http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=c0477355912e4c9555a4bab990f4bae3 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=c0477355912e4c9555a4bab990f4bae3 .

H J Li , C Y SUEN . Robust face recognition based on dynamic rank representation . Pattern Recognition , 2016 . 60 13 - 24 . DOI: 10.1016/j.patcog.2016.05.014 http://doi.org/10.1016/j.patcog.2016.05.014 .

闵卫东 , 石杰 , 韩清 , 等 . 一种分布式人脸识别方法及性能优化 . 光学精密工程 , 2017 . 25 ( 3 ): 779 - 785 . http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201703031 http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201703031 .

W D MIN , J SHI , Q HAN , 等 . A distributed face recognition method and performance optimization . Optics and Precision Engineering , 2017 . 25 ( 3 ): 779 - 785 . http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201703031 http://d.old.wanfangdata.com.cn/Periodical/gxjmgc201703031 .

高瞻宇 , 顾营迎 , 吕耀宇 , 等 . 融合通用形变模型信息的面部三维重建 . 光学精密工程 , 2018 . 26 ( 1 ): 184 - 192 . http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gxjmgc201801022 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gxjmgc201801022 .

Z Y GAO , Y Y GU , Y Y LYU , 等 . Face reconstruction fused with generic morphable model . Optics and Precision Engineering , 2018 . 26 ( 1 ): 184 - 192 . http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gxjmgc201801022 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gxjmgc201801022 .

葛微 , 程宇奇 , 刘春香 , 等 . 基于子空间分析的人脸识别方法研究 . 中国光学 , 2009 . 2 ( 5 ): 377 - 387 . DOI: 10.3969/j.issn.2095-1531.2009.05.002 http://doi.org/10.3969/j.issn.2095-1531.2009.05.002 .

W GE , Y Q CHENG , C X LIU , 等 . Research of face recognition methods based on subspace analysis . Chinese Optics , 2009 . 2 ( 5 ): 377 - 387 . DOI: 10.3969/j.issn.2095-1531.2009.05.002 http://doi.org/10.3969/j.issn.2095-1531.2009.05.002 .

J WRIGHT , A Y YANG , A GANESH , 等 . Robust face recognition via sparse representation . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2009 . 31 ( 2 ): 210 - 227 . DOI: 10.1109/TPAMI.2008.79 http://doi.org/10.1109/TPAMI.2008.79 .

DENG W H, HU J N, GUO J. In defense of sparsity based face recognition[C]// Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition . Portland, USA: IEEE, 2013: 399-406.

W H DENG , J N HU , J GUO . Face recognition via collaborative representation:its discriminant nature and superposed representation . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2018 . 40 ( 10 ): 2513 - 2521 . DOI: 10.1109/TPAMI.2017.2757923 http://doi.org/10.1109/TPAMI.2017.2757923 .

ZHANG L, YANG M, FENG X C. Sparse representation or collaborative representation: which helps face recognition?[C]// Proceedings of 2011 International Conference on Computer Vision . Barcelona, Spain: IEEE, 2011: 471-478.

YANG M, ZHANG L, YANG J, et al . Robust sparse coding for face recognition[C]// Proceedings of CVPR 2011 . Colorado, USA: IEEE, 2011: 625-632.

M YANG , L ZHANG , J YANG , 等 . Regularized robust coding for face recognition . IEEE Transactions on Image Processing , 2013 . 22 ( 5 ): 1753 - 1766 . DOI: 10.1109/TIP.2012.2235849 http://doi.org/10.1109/TIP.2012.2235849 .

林国军 , 解梅 . 一种鲁棒协作表示的人脸识别算法 . 计算机应用研究 , 2014 . 31 ( 8 ): 2520 - 2522, 2531 . DOI: 10.3969/j.issn.1001-3695.2014.08.069 http://doi.org/10.3969/j.issn.1001-3695.2014.08.069 .

G J LIN , M XIE . Face recognition algorithm of robust collaborative representation . Application Research of Computers , 2014 . 31 ( 8 ): 2520 - 2522, 2531 . DOI: 10.3969/j.issn.1001-3695.2014.08.069 http://doi.org/10.3969/j.issn.1001-3695.2014.08.069 .

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 . 液晶与显示 , 2017 . 32 ( 8 ): 650 - 655 . http://yjyxs.com/CN/abstract/abstract10212.shtml http://yjyxs.com/CN/abstract/abstract10212.shtml .

M Z YANG , P X YANG . Face recognition algorithm based on low-rank eigenface and collaborative representation . Chinese Journal of Liquid Crystals and Displays , 2017 . 31 ( 8 ): 650 - 655 . http://yjyxs.com/CN/abstract/abstract10212.shtml http://yjyxs.com/CN/abstract/abstract10212.shtml .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Face recognition based on sparse representation of principal components and low rank decomposition in uncontrolled scenes

Face recognition research based on variant samples and collaborative representation

Face recognition algorithm based on low-rank eigenface and collaborative representation

Super-resolution image reconstruction based on convolutional sparse coding and generative adversarial networks

3D palmprint recognition based on local orientation binary pattern combined with collaborative representation

Related Author

Jin-ning ZHU

Yi-zhou DONG

Bin CHEN

Ming-zhong YANG

Ping-xian YANG

Guo-jun LIN

Ming-zhong YANG

Ping-xian YANG

Related Institution

Informatization Office Nanjing Normal University

School of Automation and Information Engineering, Sichuan University of Science and Engineering

School of Automation & Information Engineering, Sichuan University of Science & Engineering

Quanzhou Institute of Equipment Manufacturing， Haixi Institutes， Chinese Academy of Sciences

School of Advanced Manufacturing， Fuzhou University

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China 130033 Postal code：130033
Tel：0431-86176059 Email：yjxs@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰