Sparse Representation for Face Recognition Based on Constraint Sampling and Face Alignment

Jing Wang; Guangda Su; Ying Xiong; Jiansheng Chen; Yan Shang; Jiongxin Liu; Xiaolong Ren

doi:10.1109/TST.2013.6449409

Tsinghua Science and Technology 2013, 18(1): 62-67 https://doi.org/10.1109/TST.2013.6449409

Open Access | Issue | Published: 07 February 2013

Sparse Representation for Face Recognition Based on Constraint Sampling and Face Alignment

Show Author's Information Hide Author's Information Jing Wang, Guangda Su(

), Ying Xiong, Jiansheng Chen, Yan Shang, Jiongxin Liu, Xiaolong Ren

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Department of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA

Department of Computer Science, Columbia University, New York, NY 10027, USA

Keywords:

classification, feature extraction, face recognition, face alignment

Cite this article:

Wang J, Su G, Xiong Y, et al. Sparse Representation for Face Recognition Based on Constraint Sampling and Face Alignment. Tsinghua Science and Technology, 2013, 18(1): 62-67. https://doi.org/10.1109/TST.2013.6449409

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Abstract

Sparse Representation based Classification (SRC) has emerged as a new paradigm for solving recognition problems. This paper presents a constraint sampling feature extraction method that improves the SRC recognition rate. The method combines texture and shape features to significantly improve the recognition rate. Tests show that the combined constraint sampling and facial alignment achieves very high recognition accuracy on both the AR face database (99.52%) and the CAS-PEAL face database (99.54%).

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Sparse Representation for Face Recognition Based on Constraint Sampling and Face Alignment

Show Author's information Hide Author's Information Jing Wang, Guangda Su(

), Ying Xiong, Jiansheng Chen, Yan Shang, Jiongxin Liu, Xiaolong Ren

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Department of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA

Department of Computer Science, Columbia University, New York, NY 10027, USA

Abstract

Keywords: classification, feature extraction, face recognition, face alignment

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Publication history

Received: 16 July 2012

Accepted: 05 December 2012

Published: 07 February 2013

Issue date: February 2013

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 60772047 and 61101152), the National Science & Technology Pillar Program during the Eleventh Five-year Plan Period (No.2006BAK08B07), and the Chuanxin Foundation from Tsinghua University (No. 110107001).