子空间变换诱导的稳健人脸图像相似度度量

张键; 张恒; 薄丽玲; 李宏然; 徐帅; 袁冬青

doi:10.1631/FITEE.1900552

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子空间变换诱导的稳健人脸图像相似度度量

常规文章 | Updated：2022-05-19

- 子空间变换诱导的稳健人脸图像相似度度量
- Subspace transform induced robust similarity measure for facial images
- 信息与电子工程前沿（英文） 2020年21卷第9期页码：1334-1345
- Affiliations：
  
  Department of Computer Engineering, Jiangsu Ocean University, Lianyungang 222005, China
  Department of Mathematics, Jiangsu Ocean University, Lianyungang 222005, China
- Author bio：
  
  [ "Jian ZHANG, E-mail: zhangjian@jou.edu.cn" ]
  Heng ZHANG, E-mail: zhangheng@jou.edu.cn
- Funds：
  
  Project supported by the National Natural Science Foundation of China (No. 61873106), the Natural Science Foundation of Jiangsu Province, China (No. BK20171264), the Jiangsu Qing Lan Project to Cultivate Middle-Aged and Young Science Leaders, China, the Jiangsu Six Talent Peak Project, China (Nos. XYDXX-047 and XYDXX-140), the University Science Research General Research General Project of Jiangsu Province, China (Nos. 18KJB520005 and 19KJB520004), the Innovation Fund Project for Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, China (No. JYB201609), the Lianyungang Hai Yan Plan, China (Nos. 2018-ZD-003, 2018-QD-001, and 2018-QD-012), the Science and Technology Project of Lianyungang Hightech Zone, China (Nos. ZD201910 and ZD201912), and the Natural Science Foundation Project of Huaihai Institute of Technology, China (No. Z2017005)
- DOI：10.1631/FITEE.1900552
  中图分类号： TP391
- 纸质出版日期：2020-09，
  
  收稿日期：2019-10-11，
  
  修回日期：2020-07-23，
- Accepted：
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张键, 张恒, 薄丽玲, 等. 子空间变换诱导的稳健人脸图像相似度度量[J]. 信息与电子工程前沿（英文）, 2020,21(9):1334-1345.

JIAN ZHANG, HENG ZHANG, LI-LING BO, et al. Subspace transform induced robust similarity measure for facial images. [J]. Frontiers of information technology & electronic engineering, 2020, 21(9): 1334-1345.
张键, 张恒, 薄丽玲, 等. 子空间变换诱导的稳健人脸图像相似度度量[J]. 信息与电子工程前沿（英文）, 2020,21(9):1334-1345. DOI： 10.1631/FITEE.1900552.

JIAN ZHANG, HENG ZHANG, LI-LING BO, et al. Subspace transform induced robust similarity measure for facial images. [J]. Frontiers of information technology & electronic engineering, 2020, 21(9): 1334-1345. DOI： 10.1631/FITEE.1900552.

摘要

相似度度量方法在许多领域（如模式识别与机器感知）扮演着重要角色，引起国内外学者重点关注。当前，为图像构建二维稳健的相似度度量方法仍是重要研究课题。本文针对稳健人脸识别问题，基于子空间性质，提出一种有效且稳健的二维图像相似度度量方法。该方法通过线性变换与奇异值分解，度量两幅对齐人脸图像的相似度，同时消弱人脸识别过程中的干扰。展示了该方法的数学特征及度量特性，进而揭示所提方法的可行性与稳健机制。结合最近邻分类器，评估了所提方法在不同挑战下的人脸识别性能。实验结果表明所提方法在准确性和稳健性方面具有一定优势。

Abstract

Similarity measure has long played a critical role and attracted great interest in various areas such as pattern recognition and machine perception. Nevertheless

there remains the issue of developing an efficient two-dimensional (2D) robust similarity measure method for images. Inspired by the properties of subspace

we develop an effective 2D image similarity measure technique

named transformation similarity measure (TSM)

for robust face recognition. Specifically

the TSM method robustly determines the similarity between two well-aligned frontal facial images while weakening interference in the face recognition by linear transformation and singular value decomposition. We present the mathematical features and some odds to reveal the feasible and robust measure mechanism of TSM. The performance of the TSM method

combined with the nearest neighbor rule

is evaluated in face recognition under different challenges. Experimental results clearly show the advantages of the TSM method in terms of accuracy and robustness.

关键词

子空间分析图像相似度度量人脸识别模式识别

Keywords

Subspace analysisImage similarity measureFace recognitionPattern recognition

references

Y Adini, , , Y Moses, , , S Ullman. . Face recognition: the problem of compensating for changes in illumination direction. . IEEE Trans Patt Anal Mach Intell, , 1997. . 19((7):):721--732. . DOI:10.1109/34.598229http://doi.org/10.1109/34.598229..

KW Bowyer, , , PJ Phillips. . Empirical Evaluation Techniques in Computer Vision, , ::Washington, USAIEEE Computer Society Press, , 1998. ..

SW Chen, , , XL Dai, , , BB Pan, , , 等. . A novel discriminant criterion based on feature fusion strategy for face recognition. . Neurocomputing, , 2015. . 15967--77. . DOI:10.1016/j.neucom.2015.02.019http://doi.org/10.1016/j.neucom.2015.02.019..

T Cover, , , P Hart. . Nearest neighbor pattern classification. . IEEE Trans Inform Theory, , 1967. . 13((1):):21--27. . DOI:10.1109/TIT.1967.1053964http://doi.org/10.1109/TIT.1967.1053964..

H Demirel, , , G Anbarjafari, , , MNS Jahromi. . Image equalization based on singular value decomposition. . Proc 23rd Int Symp on Computer and Information Sciences, , 2008. . p.1--5. . DOI:10.1109/ISCIS.2008.4717878http://doi.org/10.1109/ISCIS.2008.4717878..

J Demmel, , , W Kahan. . Accurate singular values of bidiagonal matrices. . SIAM J Sci Stat Comput, , 1990. . 11((5):):873--912. . DOI:10.1137/0911052http://doi.org/10.1137/0911052..

WH Deng, , , JN Hu, , , J Guo. . Extended SRC: undersampled face recognition via intraclass variant dictionary. . IEEE Trans Patt Anal Mach Intell, , 2012. . 34((9):):1864--1870. . DOI:10.1109/TPAMI.2012.30http://doi.org/10.1109/TPAMI.2012.30..

AS Georghiades, , , PN Belhumeur, , , DJ Kriegman. . From few to many: illumination cone models for face recognition under variable lighting and pose. . IEEE Trans Patt Anal Mach Intell, , 2001. . 23((6):):643--660. . DOI:10.1109/34.927464http://doi.org/10.1109/34.927464..

R Gross, , , I Matthews, , , J Cohn, , , 等. . Multi-PIE. . Image Vis Comput, , 2010. . 28((5):):807--813. . DOI:10.1016/j.imavis.2009.08.002http://doi.org/10.1016/j.imavis.2009.08.002..

ZH Gu, , , M Shao, , , LY Li, , , 等. . Discriminative metric: Schatten norm vs. vector norm. . Proc 21st Int Conf on Pattern Recognition, , 2012. . p.1213--1216. . ..

XT He, , , YX Peng, , , JJ Zhao. . Fast fine-grained image classification via weakly supervised discriminative localization. . IEEE Trans Circ Syst Video Technol, , 2019. . 29((5):):1394--1407. . DOI:10.1109/TCSVT.2018.2834480http://doi.org/10.1109/TCSVT.2018.2834480..

KC Lee, , , J Ho, , , DJ Kriegman. . Acquiring linear subspaces for face recognition under variable lighting. . IEEE Trans Patt Anal Mach Intell, , 2005. . 27((5):):684--698. . DOI:10.1109/TPAMI.2005.92http://doi.org/10.1109/TPAMI.2005.92..

CJ Liu. . Discriminant analysis and similarity measure. . Patt Recogn, , 2014. . 47((1):):359--367. . DOI:10.1016/j.patcog.2013.06.023http://doi.org/10.1016/j.patcog.2013.06.023..

Y Liu, , , R Jin. . Distance Metric Learning: a Comprehensive Survey. . Michigan State University, , 2006. . p.4..

A Martínez, , , R Benavente. . The AR Face Database. . 24 CVC Technical Report, , 1998. ..

I Naseem, , , R Togneri, , , M Bennamoun. . Linear regression for face recognition. . IEEE Trans Patt Anal Mach Intell, , 2010. . 32((11):):2106--2112. . DOI:10.1109/TPAMI.2010.128http://doi.org/10.1109/TPAMI.2010.128..

R Paredes, , , E Vidal. . Learning weighted metrics to minimize nearest-neighbor classification error. . IEEE Trans Patt Anal Mach Intell, , 2006. . 28((7):):1100--1110. . DOI:10.1109/TPAMI.2006.145http://doi.org/10.1109/TPAMI.2006.145..

YX Peng, , , XT He, , , JJ Zhao. . Object-part attention model for fine-grained image classification. . IEEE Trans Image Process, , 2017. . 27((3):):1487--1500. . DOI:10.1109/TIP.2017.2774041http://doi.org/10.1109/TIP.2017.2774041..

YX Peng, , , JW Qi, , , YX Yuan. . Modality-specific cross-modal similarity measurement with recurrent attention network. . IEEE Trans Image Process, , 2018. . 27((11):):5585--5599. . DOI:10.1109/TIP.2018.2852503http://doi.org/10.1109/TIP.2018.2852503..

V Perlibakas. . Distance measures for PCA-based face recognition. . Patt Recogn Lett, , 2004. . 25((6):):711--724. . DOI:10.1016/j.patrec.2004.01.011http://doi.org/10.1016/j.patrec.2004.01.011..

N Sebe, , , MS Lew, , , DP Huijsmans. . Toward improved ranking metrics. . IEEE Trans Patt Anal Mach Intell, , 2000. . 22((10):):1132--1143. . DOI:10.1109/34.879793http://doi.org/10.1109/34.879793..

YY Sun, , , F Tong, , , ZK Zhang, , , 等. . Throughput modeling and analysis of random access in narrowband Internet of Things. . IEEE Int Things J, , 2018. . 5((3):):1485--1493. . DOI:10.1109/JIOT.2017.2782318http://doi.org/10.1109/JIOT.2017.2782318..

EP Vivek, , , N Sudha. . Robust Hausdorff distance measure for face recognition. . Patt Recogn, , 2007. . 40((2):):431--442. . DOI:10.1016/j.patcog.2006.04.019http://doi.org/10.1016/j.patcog.2006.04.019..

A Wagner, , , J Wright, , , A Ganesh, , , 等. . Toward a practical face recognition system: robust alignment and illumination by sparse representation. . IEEE Trans Patt Anal Mach Intell, , 2012. . 34((2):):372--386. . DOI:10.1109/TPAMI.2011.112http://doi.org/10.1109/TPAMI.2011.112..

H Wang. . Nearest neighbors by neighborhood counting. . IEEE Trans Patt Anal Mach Intell, , 2006. . 28((6):):942--953. . DOI:10.1109/TPAMI.2006.126http://doi.org/10.1109/TPAMI.2006.126..

XG Wang, , , XO Tang. . Face photo-sketch synthesis and recognition. . IEEE Trans Patt Anal Mach Intell, , 2009. . 31((11):):1955--1967. . DOI:10.1109/TPAMI.2008.222http://doi.org/10.1109/TPAMI.2008.222..

Y Wen, , , L Zhang, , , KM von Deneen, , , 等. . Face recognition using discriminative locality preserving vectors. . Dig Signal Process, , 2016. . 50103--113. . DOI:10.1016/j.dsp.2015.11.001http://doi.org/10.1016/j.dsp.2015.11.001..

J Wright, , , AY Yang, , , A Ganesh. . Robust face recognition via sparse representation. . IEEE Trans Patt Anal Mach Intell, , 2009. . 31((2):):210--227. . DOI:10.1109/TPAMI.2008.79http://doi.org/10.1109/TPAMI.2008.79..

J Wu, , , H Shen, , , YD Li, , , 等. . Learning a hybrid similarity measure for image retrieval. . Patt Recogn, , 2013. . 46((11):):2927--2939. . DOI:10.1016/j.patcog.2013.04.008http://doi.org/10.1016/j.patcog.2013.04.008..

MC Wu, , , SB He, , , YT Zhang, , , 等. . A tensor-based framework for studying eigenvector multicentrality in multilayer networks. . PNAS, , 2019. . 116((31):):15407--15413. . DOI:10.1073/pnas.1801378116http://doi.org/10.1073/pnas.1801378116..

WS Yambor, , , BA Draper, , , JR Beveridge. . Analyzing PCA-based face recognition algorithms: eigenvector selection and distance measures. . Empirical Evaluation Methods in Computer Vision, , 2002. . p.39--60. . DOI:10.1142/9789812777423_0003http://doi.org/10.1142/9789812777423_0003..

DQ Zhang, , , SC Chen, , , ZH Zhou. . A new face recognition method based on SVD perturbation for single example image per person. . Appl Math Comput, , 2005. . 163((2):):895--907. . DOI:10.1016/j.amc.2004.04.016http://doi.org/10.1016/j.amc.2004.04.016..

J Zhang, , , J Yang. . Linear reconstruction measure steered nearest neighbor classification framework. . Patt Recogn, , 2014. . 47((4):):1709--1720. . DOI:10.1016/j.patcog.2013.10.018http://doi.org/10.1016/j.patcog.2013.10.018..

J Zhang, , , J Yang, , , JJ Qian. . Nearest orthogonal matrix representation for face recognition. . Neurocomputing, , 2015. . 151471--480. . DOI:10.1016/j.neucom.2014.09.019http://doi.org/10.1016/j.neucom.2014.09.019..

YM Zhang, , , SB He, , , JM Chen. . Data gathering optimization by dynamic sensing and routing in rechargeable sensor networks. . IEEE/ACM Trans Netw, , 2016. . 24((3):):1632--1646. . DOI:10.1109/TNET.2015.2425146http://doi.org/10.1109/TNET.2015.2425146..

CW Zhou, , , YJ Gu, , , SB He, , , 等. . A robust and efficient algorithm for coprime array adaptive beamforming. . IEEE Trans Veh Technol, , 2018. . 67((2):):1099--1112. . DOI:10.1109/TVT.2017.2704610http://doi.org/10.1109/TVT.2017.2704610..

LS Zhuang, , , AY Yang, , , ZH Zhou, , , 等. . Single-sample face recognition with image corruption and misalignment via sparse illumination transfer. . Proc IEEE Conf on Computer Vision and Pattern Recognition, , 2013. . p.3546--3553. . DOI:10.1109/CVPR.2013.455http://doi.org/10.1109/CVPR.2013.455..

WW Zou, , , PC Yuen. . Discriminability and reliability indexes: two new measures to enhance multi-image face recognition. . Patt Recogn, , 2010. . 43((10):):3483--3493. . DOI:10.1016/j.patcog.2010.05.024http://doi.org/10.1016/j.patcog.2010.05.024..

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