JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2018, Vol. 48 ›› Issue (1): 15-20.doi: 10.6040/j.issn.1672-3961.0.2017.005

Previous Articles     Next Articles

Unsupervised face image feature extraction based on low-rank representation projection

ZHANG Zhenyue, LI Fei, JIANG Mingyan*   

  1. School of Information Science and Engineering, Shandong University, Jinan 250100, Shandong, China
  • Received:2017-01-03 Online:2018-02-20 Published:2017-01-03

PDF (PC)

773

Abstract: In order to construct the adaptive adjacency graph between data points, and also to overcome the disadvantage that the coefficients of sparse representation and collaborative representation were independent, the low-rank representation projections(LRRP)and discriminative low-rank representation projections(DLRRP)were proposed. In these two manifold learning methods, the weighted matrix was constructed by low-rank representation(LRR). The adjacencies defined by the coefficients were preserved in the feature space. By virtue of the clustering property of the coefficients, an within-class scatter minimum term was added in the optimization objective, which leaded to a discriminative projection. The experimental results showed that compared with other manifold learning algorithms, LRRP and DLRRP could obtain the better recognition accuracies. The proposed methods were effective feature extraction algorithms and enriched the manifold learning framework.

Key words: manifold learning, low-rank representation, face recognition, feature extraction, adjacency graph

CLC Number: 

  • TP391
[1] ROWEIS S T, SAUL L K. Nonlinear dimensionality reduction by locally linear embedding[J]. Science, 2000, 290:2323-2326.
[2] BELKIN M, NIYOGI P. Laplacian eigenmaps and spectral techniques for embedding and clustering[C] //Proceedings of International Conference on Neural Information Processing Systems: Natural and Synthetic. Vancouver, Canada: MIT Press, 2001: 585-591.
[3] HE Xiaofei, NIYOGI P. Locality preserving projections[C] //Proceedings of the Seventeenth Annual Conference on Neural Information Processing Systems. Massachusetts, USA:MIT Press, 2003.
[4] 黄璞,唐振民.无参数局部保持投影及人脸识别[J].模式识别与人工智能,2013, 26(9):865-871. HUANG Pu, TANG Zhenmin. Parameter-free locality preserving projections and face recognition[J]. Pattern Recognition and Artificial Intelligence, 2013, 26(9):865-871.
[5] QIAO Lishan, CHEN Songcan, TAN Xiaoyang. Sparsity preserving projections with applications to face recognition[J]. Pattern Recognition, 2010, 43(1):331-341.
[6] ZHANG Lei, YANG Meng, FENG Xiangchu. Sparse representation or collaborative representation: which helps face recognition?[C] //Proceedings of 2011 International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011:471-478.
[7] YANG Wankou, WANG Zhenyu, SUN Changyin. A collaborative representation based projections method for feature extraction[J]. Pattern Recognition, 2015, 48:20-27.
[8] 杨国亮,谢乃俊,罗璐,等.基于空间约束低秩图的人脸识别[J].计算机科学, 2014, 41(8):297-300. YANG Guoliang, XIE Naijun, LUO Lu, et al. Low-rank graph with spatial constraint for face recognition[J]. Computer Science, 2014, 41(8):297-300.
[9] LIU Guangcan, LIN Zhouchen, YU Yong. Robust subspace segmentation by low-rank representation[C] //Proceedings of International Conference on Machine Learning. Haifa, Israel: Omnipress, 2010:663-670.
[10] WRIGHT J, WRIGHT J, GANESH A, et al. Robust principal component analysis: exact recovery of corrupted low-rank matrices by convex optimization[C] // Proceedings of International Conference on Neural Information Processing Systems. Vancouver, Canada: Curran Associates Inc., 2009:2080-2088.
[11] HE Xiaofei, MA Weiying, ZHANG Hongjiang. Learning an image manifold for retrieval[C] //Proceedings of ACM International Conference on Multimedia. New York, USA:ACM, 2004:17-23.
[12] LIU Guangcan, LIN Zhouchen, YAN Shuicheng, et al. Robust recovery of subspace structures by low-rank representation[J]. IEEE Transaction on Pattern and Machine Recognition, 2013, 35(1): 171-184.
[13] GAN Guojun, NG K P. Subspace clustering using affinity propagation[J]. Pattern Recognition, 2015, 48(4):1455-1464.
[14] BOYD S, VANDERBERGHE L. Convex optimization[M]. New York, USA: Cambridge University Press, 2007:75-78.
[15] MARTINEZ A, BENAVENTE R. The AR face database[R]. USA, Purdue University West Lafayette:Computer Vision Center: Technical Report, 1998.
[16] GEORGHIADES A S, BELHUMEUR P N, KRIEGMAN D J. From few to many: illumination cone models for face recognition under variable lighting and pose[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, 23(6): 643-660.
[17] PHILLIPSP J, MOON H, RIZVI A, et al. The FERET valuation methodology for face recognition algorithms[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(10): 1090-1104.
[18] SIM T, BAKER S, BSAT M. The CMU pose, illumination, and expression database[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(12): 1615-1618.
[19] JOLLIFFE I T. Principal component analysis[M]. New York, USA: Springer-Verlag, 2002:98-99.
[20] ZHANG Limei, CHEN Songcan, QIAO Lishan. Graph optimization for dimensionality reduction with sparsity constraints[J]. Pattern Recognition, 2012, 45(3): 1205-1210.
[1] Ying LI,Jiankun WANG. The classification of mild cognitive impairment based on supervised graph regularization and information fusion [J]. Journal of Shandong University(Engineering Science), 2023, 53(4): 65-73.
[2] Chunhong CAO,Hongxuan DUAN,Ling CAO,Lele ZHANG,Kai HU,Fen XIAO. Real-time semantic segmentation of high-resolution remote sensing image based on multi-level feature cascade [J]. Journal of Shandong University(Engineering Science), 2021, 51(2): 19-25.
[3] Jun FAN,Qiaolin YE,Ning YE. Face recognition based on improved prameter-free supervised localitypreserving projections [J]. Journal of Shandong University(Engineering Science), 2019, 49(1): 10-16.
[4] Hong CHEN,Xiaofei YANG,Qing WAN,Yingcang MA. Multi-label feature selection algorithm based on correntropy andmanifold learning [J]. Journal of Shandong University(Engineering Science), 2018, 48(6): 27-36.
[5] Guoxin WANG,Fengdong CHEN,Guodong LIU. Feature extraction method of color pseudo-random coded structured light [J]. Journal of Shandong University(Engineering Science), 2018, 48(5): 55-60.
[6] YE Ziyun, YANG Jinfeng. A finger-vein recognition method based on weighted graph model [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 103-109.
[7] BAO Tala, MA Jian, GAN Zuwang. Performance assessment of lithium-ion battery based on geometric features and manifold distance [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(5): 157-165.
[8] YU Qingmin, LI Xiaolei, ZHAI Yong. Feature extraction method of rolling bearing inner ring in wind turbine based on improved EMD and feature box [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(3): 89-95.
[9] GUO Chao, YANG Yan, JIANG Yongquan, SONG Yi. Condition recognition of high-speed train based on multi-view classification ensemble [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(1): 7-14.
[10] ZHANG Yuling, YIN Chuanhuan. Android malware detection based on SVM [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2017, 47(1): 42-47.
[11] ZHONG Zhiyan, WEN Zhiqiang, ZHANG Xiaoyun, YE Degang. Neighborhood similarity descriptor used in halftone image [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(3): 58-64.
[12] ZHOU Kai, YUAN Changan, QIN Xiao, ZHENG Yan, FENG Wenduo. Face recognition based on kernel Bayesian compressive sensing [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(3): 74-78.
[13] LU Dan, ZHOU Yiqi. Vibration analysis of excavator seat based on EEMD and CWT [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(3): 58-64.
[14] ZHOU Zhe, SHANG Lin. A sentiment analysis method based on dynamic lexicon and three-way decision [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(1): 19-23.
[15] REN Jieyi, WU Xiaojun. An improved method of covariance discriminative learning [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2015, 45(1): 9-12.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] WANG Su-yu,<\sup>,AI Xing<\sup>,ZHAO Jun<\sup>,LI Zuo-li<\sup>,LIU Zeng-wen<\sup> . Milling force prediction model for highspeed end milling 3Cr2Mo steel[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(1): 1 -5 .
[2] LI Kan . Empolder and implement of the embedded weld control system[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2008, 38(4): 37 -41 .
[3] KONG Xiang-zhen,LIU Yan-jun,WANG Yong,ZHAO Xiu-hua . Compensation and simulation for the deadband of the pneumatic proportional valve[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(1): 99 -102 .
[4] LAI Xiang . The global domain of attraction for a kind of MKdV equations[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(1): 87 -92 .
[5] YU Jia yuan1, TIAN Jin ting1, ZHU Qiang zhong2. Computational intelligence and its application in psychology[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(1): 1 -5 .
[6] CHEN Rui, LI Hongwei, TIAN Jing. The relationship between the number of magnetic poles and the bearing capacity of radial magnetic bearing[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(2): 81 -85 .
[7] WANG Bo,WANG Ning-sheng . Automatic generation and combinatory optimization of disassembly sequence for mechanical-electric assembly[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(2): 52 -57 .
[8] LI Ke,LIU Chang-chun,LI Tong-lei . Medical registration approach using improved maximization of mutual information[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(2): 107 -110 .
[9] JI Tao,GAO Xu/sup>,SUN Tong-jing,XUE Yong-duan/sup>,XU Bing-yin/sup> . Characteristic analysis of fault generated traveling waves in 10 Kv automatic blocking and continuous power transmission lines[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2006, 36(2): 111 -116 .
[10] . [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2009, 39(1): 27 -32 .
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd