[1] 方淑仙, 张立武, 王惠莅. 基于人脸生物特征的身份鉴别技术发展趋势研究[J]. 信息安全研究, 2017(6).
[2] Su J, Vargas D V, Kouichi S. One pixel attack for fooling deep neural networks[J]. arXiv preprint arXiv:1710.08864, 2017.
[3] Turk M, Pentland A. Eigenfaces for recognition[J]. Journal of cognitive neuroscience, 1991, 3(1): 71-86.
[4] Belhumeur P N, Hespanha J P, Kriegman D J. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection[J]. IEEE Transactions on pattern analysis and machine intelligence, 1997, 19(7): 711-720.
[5] He X, Yan S, Hu Y, et al. Face recognition using laplacianfaces[J]. IEEE transactions on pattern analysis and machine intelligence, 2005, 27(3): 328-340.
[6] Cho H, Roberts R, Jung B, et al. An efficient hybrid face recognition algorithm using pca and gabor wavelets[J]. International Journal of Advanced Robotic Systems, 2014, 11(4): 59.
[7] Lades M, Vorbruggen J C, Buhmann J, et al. Distortion invariant object recognition in the dynamic link architecture[J]. IEEE Transactions on computers, 1993, 42(3): 300-311.
[8] Osuna E, Freund R, Girosit F. Training support vector machines: an application to face detection[C]//Computer vision and pattern recognition, 1997. Proceedings., 1997 IEEE computer society conference on. IEEE, 1997: 130-136.
[9] Huang G B, Lee H, Learned-Miller E. Learning hierarchical representations for face verification with convolutional deep belief networks[C]//Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012: 2518-2525.
[10] Lu C, Tang X. Surpassing Human-Level Face Verification Performance on LFW with GaussianFace[J]. Computer Science, 2014.
[11] Taigman Y, Yang M, Ranzato M A, et al. Deepface: Closing the gap to human-level performance in face verification[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2014: 1701-1708.
[12] Ouyang W, Zeng X, Wang X, et al. DeepID-Net: Deformable deep convolutional neural networks for object detection[J]. IEEE Trans on Pattern Analysis & Machine Intelligence, 2014, 46(5):2403-2412.
[13] Schroff F, Kalenichenko D, Philbin J. Facenet: A unified embedding for face recognition and clustering[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2015: 815-823.
[14] Parke F I. Computer generated animation of faces[C]//Proceedings of the ACM annual conference-Volume 1. ACM, 1972: 451-457.
[15] Blanz V, Vetter T. A morphable model for the synthesis of 3D faces[C]//Proceedings of the 26th annual conference on Computer graphics and interactive techniques. ACM Press/Addison-Wesley Publishing Co., 1999: 187-194.
[16] Paysan P, Knothe R, Amberg B, et al. A 3D face model for pose and illumination invariant face recognition[C]//Advanced video and signal based surveillance, 2009. AVSS'09. Sixth IEEE International Conference on. IEEE, 2009: 296-301.
[17] Kaashki N N, Safabakhsh R. 3D constrained local model-based face recognition using Kinect under variant conditions[C]// International Symposium on Telecommunications. IEEE, 2014:361-366.
[18] Ikeuchi K, Horn B K P. Numerical shape from shading and occluding boundaries[J]. Artificial intelligence, 1981, 17(1-3): 141-184.
[19] Kemelmacher-Shlizerman I, Basri R. 3D face reconstruction from a single image using a single reference face shape[J]. IEEE transactions on pattern analysis and machine intelligence, 2011, 33(2): 394-405.
[20] Fidaleo D, Medioni G. Model-assisted 3d face reconstruction from video[C]//International Workshop on Analysis and Modeling of Faces and Gestures. Springer Berlin Heidelberg, 2007: 124-138.
[21] Zhang L, Snavely N, Curless B, et al. Spacetime faces: high resolution capture for modeling and animation[C]//ACM Transactions on Graphics (TOG). ACM, 2004, 23(3): 548-558.
[22] Siebert J P, Urquhart C W. C3D™: a Novel Vision-Based 3-D Data Acquisition System[M]//Image Processing for Broadcast and Video Production. Springer London, 1995: 170-180.
[23] Beeler T, Bickel B, Beardsley P, et al. High-quality single-shot capture of facial geometry[C]//ACM Transactions on Graphics (ToG). ACM, 2010, 29(4): 40.
[24] Zhang P B, Hung Y S. Non-Rigid Structure from Motion through Estimation of Blend Shapes[C]//Digital Image Computing: Techniques and Applications (DICTA), 2015 International Conference on. IEEE, 2015: 1-7.
[25] Zhu X, Lei Z, Yan J, et al. High-fidelity pose and expression normalization for face recognition in the wild[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2015: 787-796.
[26] S. Platt,N. Badler, Animating Facial Expressions, Proc. SIGGRAPH'81, 1981, vol.15: 245-252.
[27] I. Essa, S. Basu, Modeling, Tracking and Interactive Animation of Facial Expressions and Head Movements Using Input from Video, "Proc. Computer Animation. June 1996. 68-79.
[28] D. Terzopoulus, K. Waters, Physically-Base Facial Modeling, Analysis and Animation, [J]. Visualization and Computer Animation, 1990, vol 1: 73-80.
[29] M. Bro-Nielsen, S. Cotin, Real-Time Volumetric Deformable Models for Surgery Simulation Using Finite Elements and Condensatio, Proc. EUROGRAPHICS'96, Aug 1996,vol 15:57-66.
[30] S. Cotin, H. Delingette, N. Ayache, Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation, IEEE Trans. Visualization and Computer Graphics, Jan -Mar 1999, vol 5,no.1:62-73.
[31] Smolyanskiy N, Huitema C, Liang L, et al. Real-time 3D face tracking based on active appearance model constrained by depth data [J]. Image & Vision Computing, 2014, 32(11):860-869.
[32] Thies J, Stamminger M, Theobalt C. Demo of Face2Face: real-time face capture and reenactment of RGB videos[C]// IEEE Conference on Computer Vision and Pattern Recognition. United States of America:IEEE Computer society, 2016:2387-2395.
[33] Liang D , Wang R , Tian X , et al. PCGAN: Partition-Controlled Human Image Generation[J]. 2018.
[34] Albert Pumarola, Antonio Agudo, Aleix M.Martinez, Alberto Sanfeliu, GANimation: Anatomically-aware Facial Animation from a Single Image, ECCV,2018.
[35] 张立武, 王惠莅. 设备与服务的可信连接安全要求国际标准提案研究[J]. 信息技术与标准化, 2018, No.401(05):48-51+57.
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