| [1] 高新波,王楠楠,彭春蕾,等.基于三元空间融合的人脸图像模式识别.模式识别与人工智能, 2015, 28(9): 811-821.
(GAO X B, WANG N N, PENG C L, et al. Facial Image Pattern Recognition Based on Triple Space. Pattern Recognition and Artificial Intelligence, 2015, 28(9): 811-821.)
[2] 陈 洪,郑南宁,徐迎庆,等.基于样本学习的人像线条画生成系统.软件学报, 2003, 14(2): 202-208.
(CHEN H, ZHENG N N, XU Y Q, et al. An Example-Based Facial Sketch Generation System. Journal of Software, 2003, 14(2): 202-208.)
[3] LI Y Z, KOBATAKE H. Extraction of Facial Sketch Based on Morphological Processing // Proc of the IEEE International Conference on Image Processing. Washington, USA: IEEE, 1997: 316-319.
[4] KOSHIMIZU H, TOMINAGA M, FUJIWARA T, et al. On KANSEI Facial Image Processing for Computerized Facial Caricaturing System PICASSO // Proc of the IEEE International Conference on Systems, Man, and Cybernetics. Washington, USA: IEEE, 1999: 294-299.
[5] TANG X O, WANG X G. Face Photo Recognition Using Sketches // Proc of the International Conference on Image Processing. Washington, USA: IEEE, 2002: 257-260.
[6] ROWEIS S T, SAUL L K. Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science, 2000, 290(5500): 2323-2326.
[7] LIU Q S, TANG X O, JIN H L, et al. A Nonlinear Approach for Face Sketch Synthesis and Recognition // Proc of the IEEE Confe-rence on Computer Vision and Pattern Recognition. Washington, USA: IEEE, 2005: 1005-1010.
[8] GAO X B, WANG N N, TAO D C, et al. Face Sketch-Photo Synthesis and Retrieval Using Sparse Representation. IEEE Transactions on Circuits Systems for Video Technology, 2012, 22(8): 1213-1226.
[9] WANG N N, ZHU M R, LI J, et al. Data-Driven vs. Model-Dri-ven: Fast Face Sketch Synthesis. Neurocomputing, 2017, 257: 214-221.
[10] WANG X G, TANG X O. Face Photo-Sketch Synthesis and Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2009, 31(11): 1955-1967.
[11] ZHANG L L, LIN L, WU X, et al. End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning // Proc of the 5th ACM International Conference on Multimedia Retrieval. New York, USA: ACM, 2015: 627-634.
[12] 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.
[13] 高新波,王楠楠.异质人脸图像合成 // 张长水,杨 强,著.机器学习及其应用2013.北京:清华大学出版社, 2013: 77-91.
(GAO X B, WANG N N. Heterogeneous Facial Image Synthesis // ZHANG C S, YANG Q, eds. Machine Learning and Its Applications 2013. Beijing, China: Tsinghua University Press, 2013: 77-91.)
[14] WANG N N, ZHA W J, LI J, et al. Back Projection: An Effective Postprocessing Method for GAN-Based Face Sketch Synthesis. Pa-ttern Recognition Letters, 2017. DOI: 10.1016/j.patrec.2017.06.012.
[15] TANG X O, WANG X G. Face Sketch Synthesis and Recognition // Proc of the 9th IEEE International Conference on Computer Vision. Washington, USA: IEEE, 2003: 687-694.
[16] TANG X O, WANG X G. Face Sketch Recognition. IEEE Transactions on Circuit Systems for Video Technology, 2004, 14(1): 50-57.
[17] WANG N N, GAO X B, LI J. Random Sampling for Fast Face Sketch Synthesis[C/OL]. [2017-10-23]. https://arxiv.org/pdf/1701.01911.pdf.
[18] DONOHO D L. For Most Large Underdetermined Systems of Linear Equations the Minimal l1-norm Solution Is Also the Sparsest Solution. Communications on Pure and Applied Mathematics, 2006, 59(6): 797-826.
[19] CHANG L, ZHOU M Q, HAN Y J, et al. Face Sketch Synthesis via Sparse Representation // Proc of the 20th International Confe-rence on Pattern Recognition. Washington, USA: IEEE, 2010: 2146-2149.
[20] WANG N N, LI J, TAO D C, et al. Heterogeneous Image Transformation. Pattern Recognition Letters, 2013, 34(1): 77-84.
[21] LIU C, SHUM H Y, FREEMAN W. Face Hallucination: Theory and Practice. International Journal of Computer Vision, 2007, 75(1): 115-134.
[22] ZHANG S C, GAO X B, WANG N N, et al. Face Sketch Synthesis via Sparse Representation-Based Greedy Search. IEEE Transactions on Image Processing, 2015, 24(8): 2466-2477.
[23] ZHANG S C, GAO X B, WANG N N, et al. Robust Face Sketch Style Synthesis. IEEE Transactions on Image Processing, 2016, 25(1): 220-232.
[24] ZHANG S C, GAO X B, WANG N N, et al. Face Sketch Synthesis from a Single Photo-Sketch Pair. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(2): 275-287.
[25] GAO X B, ZHONG J J, LI J, et al. Face Sketch Synthesis Algorithm Based on E-HMM and Selective Ensemble. IEEE Transac-tions on Circuit Systems for Video Technology, 2008, 18(4): 487-496.
[26] RABINER L R. A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE, 1989, 77(2): 257-286.
[27] NEFIAN A V, HAYES M. Face Recognition Using an Embedded HMM // Proc of the IEEE International Conference on Audio- and Video-Based Biometric Person Authentication. Washington, USA: IEEE, 1999: 19-24.
[28] GAO X B, ZHONG J J, TAO D C, et al. Local Face Sketch Synthesis Learning. Neurocomputing, 2008, 71(10/11/12): 1921-1930.
[29] YEDIDIA J S, FREEMAN W T, WEISS Y. Generalized Belief Propagation // DIETTERICH T G, BECKER S, GHAGRAMANI Z, eds. Advances in Neural Information Processing Systems 14. Cambridge, USA: The MIT Press, 2001: 689-695.
[30] EFROS A A, FREEMAN W T. Image Quilting for Texture Synthesis and Transfer // Proc of the 28th Annual Conference on Compu-ter Graphics and Interactive Techniques. New York, USA: ACM, 2001: 341-346.
[31] ZHANG W, WANG X G, TANG X O. Lighting and Pose Robust Face Sketch Synthesis // Proc of the European Conference on Computer Vision. Berlin, Germany: Springer, 2010: 420-433.
[32] LOWE D G. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision, 2004, 60(2): 91-110.
[33] ZHOU H, KUANG Z H, WONG K K. Markov Weight Fields for Face Sketch Synthesis // Proc of the IEEE Conference on Compu-ter Vision and Pattern Recognition. Washington, USA: IEEE, 2012: 1091-1097.
[34] PENG C L, GAO X B, WANG N N, et al. Graphical Representation for Heterogeneous Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(2): 301-312.
[35] WANG N N, TAO D C, GAO X B, et al. Transductive Face Sketch-Photo Synthesis. IEEE Transactions on Neural Networks and Learning Systems, 2013, 24(9): 1364-1376.
[36] PENG C L, GAO X B, WANG N N, et al. Multiple Representations-Based Face Sketch-Photo Synthesis. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(11): 2201-2215.
[37] ZHU M R, WANG N N, GAO X B, et al. Deep Graphical Feature Learning for Face Sketch Synthesis // Proc of the 26th Internatio-nal Joint Conference on Artificial Intelligence. New York, USA: ACM, 2017: 3574-3580.
[38] SIMONYAN K, ZISSERMAN A. Very Deep Convolutional Networks for Large-Scale Image Recognition[C/OL]. [2017-10-23]. https://arxiv.org/pdf/1409.1556.pdf.
[39] PENG C L, GAO X B, WANG N N, et al. Superpixel-Based Face Sketch-Photo Synthesis. IEEE Transactions on Circuits and Systems for Video Technology, 2017, 27(2): 288-299.
[40] WANG N N, GAO X B, SUN L Y, et al. Bayesian Face Sketch Synthesis. IEEE Transactions on Image Processing, 2017, 26(3): 1264-1274.
[41] WANG N N, GAO X B, SUN L Y, et al. Anchored Neighborhood Index for Face Sketch Synthesis. IEEE Transactions on Circuits and Systems for Video Technology, 2017. DOI: 10.1109/TCSVT.2017.2709465.
[42] GOODFELLOW I J, POUGER-ABADIE J, MIRZA M, et al. Gen-erative Adversarial Nets[C/OL]. [2017-10-23]. https://arxiv.org/pdf/1406.2661v1.pdf.
[43] ISOLA P, ZHU J Y, ZHOU T H, et al. Image-to-Image Translation with Conditional Adversarial Networks[C/OL]. [2017-10-23]. https://arxiv.org/pdf/1611.07004v1.pdf.
[44] WANG N N, ZHA W J, LI J, et al. Back Projection: An Effective Postprocessing Method for GAN-Based Face Sketch Synthesis. Pa-ttern Recognition Letters, 2017. DOI: 10.1016/j.patrec.2017.06.012.
[45] PHILLIPS P J, MOON H, RIZVI S A, et al. The FERET Evaluation Methodology for Face Recognition Algorithms. IEEE Transac-
tions on Pattern Analysis and Machine Intelligence, 2000, 22(10): 1090-1104.
[46] WANG Z, BOVIK A C, SHEIKH H R, et al. Image Quality Assessment: From Error Visibility to Structural Similarity. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.
[47] WANG N N, GAO X B, LI J, et al. Evaluation on Synthesized Face Sketches. Neurocomputing, 2016, 214: 991-1000.
[48] CHEN I F, LIAO H M, KO M, et al. A New LDA-Based Face Recognition System Which Can Solve the Small Sample Size Pro-blem. Pattern Recognition, 2000, 33(10): 1713-1726. |
2018, Vol. 31 
