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基于三元空间融合的人脸图像模式识别*

DOI: 10.16451/j.cnki.issn1003-6059.201509006, PP. 811-821

Keywords: 三元空间融合,人脸识别,人脸画像

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Abstract:

在面对情况复杂的模式识别问题时,人的经验知识和认知结果的充分利用有助于提高识别准确率,因而构建基于物理、信息和认知等三元空间融合的模式识别系统尤为重要.文中以公共安全领域常用的人脸图像识别问题为例,综述基于三元空间融合的模式识别的研究进展与现状.重点从基于合成的方法、基于共享空间投影的方法和基于特征描述的方法等三个方面,介绍人脸识别涉及的基于人脸模拟画像的方法,并给出深入讨论及可能的发展方向,为辅助公共安全部门侦破案件提供技术帮助.

References

[1]  Liu Q S, Tang X O, Jin H L, et al. A Nonlinear Approach for Face Sketch Synthesis and Recognition // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, USA, 2005, I: 1005-1010
[2]  Gao X B, Wang N N, Tao D C, et al. Face Sketch-Photo Synthesis and Retrieval Using Sparse Representation. IEEE Trans on Circuits Systems for Video Technology, 2012, 22(8): 1213-1226
[3]  Wang N N, Li J, Tao D C, et al. Heterogeneous Image Transformation. Pattern Recognition Letters, 2013, 34(1): 77-84
[4]  Zhang J W, Wang N N, Gao X B, et al. Face Sketch-Photo Synthesis Based on Support Vector Regression // Proc of the 18th IEEE International Conference on Image Processing. Brussels, Belgium, 2011: 1125-1128
[5]  Wang N N, Gao X B, Tao D C, et al. Face Sketch-Photo Synthesis under Multi-dictionary Sparse Representation Framework // Proc of the 6th International Conference on Image and Graphics. Hefei, China, 2011: 82-87
[6]  Zhang S C, Gao X B, Wang N N, et al. Face Sketch Synthesis via Sparse Representation-Based Greedy Search. IEEE Trans on Image Processing, 2015, 24(8): 2466-2477
[7]  Wright J, Yang A Y, Ganesh A, et al. Robust Face Recognition via Sparse Representation. IEEE Trans on Pattern Analysis and Machine Intelligence, 2009, 31(2): 210-227
[8]  Gao X B, Zhang K B, Tao D C, et al. Joint Learning for Single Image Super-Resolution via a Coupled Constraint. IEEE Trans on Image Processing, 2012, 21(2): 469-480
[9]  Liu C, Shum H Y, Freeman W T. Face Hallucination: Theory and Practice. International Journal of Computer Vision, 2007, 75(1): 115-134
[10]  Vapnik V N. The Nature of Statistical Learning Theory. New York, USA: Springer-Verlag, 1995
[11]  Nefian A V, Hayes M. Face Recognition Using an Embedded HMM // Proc of the IEEE Conference on Audio- and Video-Based Biometric Person Authentication. Washington, USA, 1999: 19-24
[12]  Rabiner L R. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE. 1989, 77(2): 257-286
[13]  Samaria F S. Face Recognition Using Hidden Markov Models. Ph.D Dissertation. Cambridge, UK: University of Cambridge, 1994
[14]  Zhong J J, Gao X B, Tian C N. Face Sketch Synthesis Using E-HMM and Selective Ensemble // Proc of the IEEE International Conference on Acoustics, Speech and Signal Processing. Honolulu, USA, 2007, I: 485-488
[15]  Gao X B, Zhong J J, Li J, et al. Face Sketch Synthesis Algorithm Based on E-HMM and Selective Ensemble. IEEE Trans on Circuit and Systems for Video Technology, 2008, 18(4): 487-496
[16]  Gao X B, Zhong J J, Tao D C, et al. Local Face Sketch Synthesis Learning. Neurocomputing, 2008, 71(10/11/12): 1921-1930
[17]  Xiao B, Gao X B, Tao D C, et al. A New Approach for Face Re-cognition by Sketches in Photos. Signal Processing, 2009, 89(8): 1576-1588
[18]  Xiao B, Gao X B, Tao D C, et al. Photo-Sketch Synthesis and Recognition Based on Subspace Learning. Neurocomputing, 2010, 73(4/5/6): 840-852
[19]  Efros A A, Freeman W T. Image Quilting for Texture Synthesis and Transfer // Proc of the 28th Annual Conference on Computer Graphics. Los Angeles, USA, 2001: 341-346
[20]  Wang X G, Tang X O. Face Photo-Sketch Synthesis and Recognition. IEEE Trans on Pattern Analysis and Machine Intelligence, 2009, 31(11): 1955-1967
[21]  Pear J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. 2nd Edition. San Francisco, USA: Morgan Kaufmann, 1988
[22]  Yedidia J S, Freeman W T, Weiss Y. Generalized Belief Propagation [EB/OL].[2015-06-28]. http:// papers.nips.cc/paper/1832-generalized-belief-propagation.pdf
[23]  Zhang W, Wang X G, Tang X O. Lighting and Pose Robust Face Sketch Synthesis // Proc of the 11th European Conference on Computer Vision. Heraklion, Greece, 2010: 420-433
[24]  Zhou H, Kuang Z H, Wong K K Y K. Markov Weight Fields for Face Sketch Synthesis // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Providence, USA, 2012: 1091-1097
[25]  Wang N N, Tao D C, Gao X B, et al. Transductive Face Sketch-Photo Synthesis. IEEE Trans on Neural Networks and Learning Systems, 2013, 24(9): 1364-1376
[26]  Lin D H, Tang X O. Inter-modality Face Recognition // Proc of the 9th European Conference on Computer Vision. Graz, Austria, 2006, IV: 13-26
[27]  Yi D, Liu R, Chu R F, et al. Face Matching between Near Infrared and Visible Light Images // Proc of the International Conference on Advances in Biometrics. Seoul, Korea, 2007: 523-530
[28]  Lei Z, Li S Z. Coupled Spectral Regression for Matching Heterogeneous Faces // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Miami, USA, 2009: 1123-1128
[29]  Yan S C, Xu D, Zhang B Y, et al. Graph Embedding and Extensions: A General Framework for Dimensionality Reduction. IEEE Trans on Pattern Analysis and Machine Intelligence, 2007, 29(1): 40-51
[30]  Lei Z, Zhou C T, Yi D, et al. An Improved Coupled Spectral Regression for Heterogeneous Face Recognition // Proc of the 5th IAPR International Conference on Biometrics. New Delhi, India, 2012: 7-12
[31]  Sharma A, Jacobs D W. Bypass Synthesis: PLS for Face Recognition with Pose, Low-Resolution and Sketch // Proc of the 24th IEEE Conference on Computer Vision and Pattern Recognition. Colorado Springs, USA, 2011: 593-600
[32]  Kan M, Shan S G, Zhang H H, et al. Multi-view Discriminant Analysis // Proc of the 12th European Conference on Computer Vision. Florence, Italy, 2012, I: 808-821
[33]  Mignon A, Jurie F. CMML: A New Metric Learning Approach for Cross Modal Matching // Proc of the 11th Asian Conference on Computer Vision. Daejeon, Korea, 2012, I: 1-14
[34]  Klare B F, Li Z F, Jain A K. Matching Forensic Sketches to Mug Shot Photos. IEEE Trans on Pattern Analysis and Machine Intelligence, 2011, 33(3): 639-646
[35]  Lowe D G. Distinctive Image Features from Scale-Invariant Key-Points. International Journal of Computer Vision, 2004, 60(2): 91-110
[36]  Ojala T, Pietikinen M, Menp T. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(7): 971-987
[37]  Zhang W, Wang X G, Tang X O. Coupled Information-Theoretic Encoding for Face Photo-Sketch Recognition // Proc of the 24th IEEE Conference on Computer Vision and Pattern Recognition. Colorado Springs, USA, 2011: 513-520
[38]  Galoogahi H K, Sim T. Face Sketch Recognition by Local Radon Binary Pattern: LRBP // Proc of the 19th IEEE International Conference on Image Processing. Orlando, USA, 2012: 1837-1840
[39]  Galoogahi H K, Sim T. Inter-modality Face Sketch Recognition // Proc of the IEEE International Conference on Multimedia and Expo. Melbourne, Australia, 2012, IV: 224-229
[40]  Lei Z, Yi D, Li S Z. Discriminant Image Filter Learning for Face Recognition with Local Binary Pattern Like Representation // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Providence, USA, 2012: 2512-2517
[41]  Alex A T, Asari V K, Mathew A. Local Difference of Gaussian Binary Pattern: Robust Features for Face Sketch Recognition // Proc of the IEEE International Conference on Systems, Man, and Cybernetics. Manchester, UK, 2013: 1211-1216
[42]  Peng C L, Gao X B, Wang N N, et al. Graphical Representation for Heterogeneous Face Recognition [EB/OL]. [2015-06-28]. http://arxiv.org/pdf/1503.00488.pdf
[43]  Zou W W, Yuen P C. Very Low Resolution Face Recognition Problem. IEEE Trans on Image Processing, 2012, 21(1): 327-340
[44]  Zhao W Y, Chellappa R, Phillips P J, et al. Face Recognition: A Literature Survey. ACM Computing Surveys, 2003, 35(4): 399-458
[45]  Biswas S, Aggarwal G, Flynn P J, et al. Pose-Robust Recognition of Low-Resolution Face Images. IEEE Trans on Pattern Analysis and Machine Intelligence, 2013, 35(12): 3037-3049
[46]  Ren C X, Dai D Q, Yan H. Coupled Kernel Embedding for Low-Resolution Face Image Recognition. IEEE Trans on Image Processing, 2012, 21(8): 3770-3783
[47]  Gao X B, Wang N N. Heterogeneous Facial Image Synthesis // Zhang C S, Yang Q, eds. Machine Learning and Its Applications. Beijing, China: Tsinghua University Press, 2013: 79-94 (in Chinese) (高新波,王楠楠.异质人脸图像合成 // 张长水,杨 强,编.机器学习及其应用.北京:清华大学出版社, 2013: 79-94)
[48]  Wang N N. Research on Heterogeneous Facial Image Synthesis and Its Application. Ph.D Dissertation. Xi′an, China: Xidian University, 2015 (in Chinese) (王楠楠.异质人脸图像合成及其应用研究.博士学位论文.西安:西安电子科技大学, 2015)
[49]  Wang N N, Tao D C, Gao X B, et al. A Comprehensive Survey to Face Hallucination. International Journal of Computer Vision, 2014, 106(1): 9-30
[50]  He X F, Niyogi P. Locality Preserving Projections // Thrun S, Saul L K, Schlkopf B, eds. Advances in Neural Information Processing Systems 16. Cambridge, USA: MIT Press, 2003: 153-160
[51]  Roweis S T, Saul L K. Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science, 2000, 290(5500): 2323-2326
[52]  Tang X O, Wang X G. Face Photo Recognition Using Sketch // Proc of the International Conference on Image Processing. Rochester, USA, 2006, I: 257-260
[53]  Tang X O, Wang X G. Face Sketch Synthesis and Recognition // Proc of the 9th IEEE International Conference on Computer Vision. Nice, France, 2003: 687-694
[54]  Tang X O, Wang X G. Face Sketch Recognition. IEEE Trans on Circuit Systems for Video Technology, 2004, 14(1): 50-57
[55]  Li Y H, Savvides M, Bhagavatula V. Illumination Tolerant Face Recognition Using a Novel Face from Sketch Synthesis Approach and Advanced Correlation Filters // Proc of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Toulouse, France, 2006, II: 357-360
[56]  Turk M A, Pentland A P. Face Recognition Using Eigenfaces // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Maui, USA, 1991: 586-591

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