[1] Ahn, L., Blum, M., and Hopper, N. J.. Telling humans and computers apart automatically. Communication of ACM, 47(2):56–60, 1985.CrossRefGoogle Scholar

[2] Akimoto, T., Suenaga, Y., and Wallace, R. S.. Automatic 3d facial models. IEEE Computer Graphics and Applications, 13(5):16–22, 1993.CrossRefGoogle Scholar

[3] Amberg, B., Blake, A., Fitzgibbon, A., Romdhani, S., and Vetter, T.. Reconstructing high quality face-surfaces using model based stereo. In International Conference on Computer Vision, Rio de Janeiro, Brazil, October 2007.Google Scholar

[4] Azarbayejani, A., Horowitz, B., and Pentland, A.. Recursive estimation of structure and motion using the relative orientation constraint. In Proceedings of the Computer Vision and Pattern Recognition Conference, pages 70–75, New York, NY, USA, 1993.Google Scholar

[5] Baird, H. S. and Popat, K.. Human interactive proofs and document image analysis. In Proceedings of Document Analysis Systems, pages 507–518, Princeton, New Jersey, August 2002.CrossRefGoogle Scholar

[6] Barron, J., Fleet, D., and Beauchemin, S.. Performance of optical flow techniques. The International Journal of Computer Vision, 12(1):43–77, 1994.CrossRefGoogle Scholar

[7] Bartels, R. H., Beatty, J. C., and Barssky, B. A.. An Introduction to Splines for Use in Computer Graphics & Geometric Modeling. Morgan Kaufmann Publishers, 1987.Google Scholar

[8] Basri, R. and Jacobs, D.. Lambertian reflectance and linear subspaces. In IEEE International Conference on Computer Vision, Vancouver, BC, Canada, pages 383–390, 2001.Google Scholar

[9] Basri, R. and Jacobs, D.. Lambertian reflectance and linear subspaces. Pattern Analysis and Machine Intelligence, 25(2):218–233, 2003.CrossRefGoogle Scholar

[10] Basu, S., Essa, I., and Pentland, A.. Motion Regularization for Model-based Head Tracking. In Proceedings of International Conference on Pattern Recognition, pages 611–616, Vienna, Austria, 1996.CrossRefGoogle Scholar

[11] Beier, T. and Neely, S.. Feature-based image metamorphosis. In SIGGRAPH, pages 35–42, 1992.CrossRefGoogle Scholar

[12] Belhumeur, P., Hespanha, J., and Kriegman, D.. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):711–720, 1997.CrossRefGoogle Scholar

[13] Bergeron, P. and Lachapelle, P.. Controlling facial expressions and body movements. Advanced Comptuer Animation, SIGGRAPH'85 Tutorials, 2:61–79, 1985.Google Scholar

[14] Bertails, F., Audoly, B., Cani, M.-P., Querleux, B., Leroy, F., and Leveque, J.-L.. Super-helices for predicting the dynamics of natural hair. ACM Transaction on Graphics, 25(3):1180–1187, 2006.CrossRefGoogle Scholar

[15] Besl, P. J. and McKay, N. D.. A method for registration of 3d shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2):239–256, 1992.CrossRefGoogle Scholar

[16] Bhukhanwala, S. A. and Ramabadram, T. V.. Automated global enhancement of digitized photographs. IEEE Transactions on Consumer Electronics, 40(1):1–10, 1994.CrossRefGoogle Scholar

[17] Biederman, I. and Kalocsai, P.. Neural and phychophysical analysis of object and face recognition. In Wechsler, H., Phillips, P. J., Bruce, V., Soulie, F., and Huang, T. S., editors, Face Recognition: From Theorey to Applications, pages 3–25, Springer, 1998.CrossRefGoogle Scholar

[18] Black, M. J. and Yacoob, Y.. Tracking and Recognizing Rigid and Non-Rigid Facial Motions Using Local Parametric Model of Image Motion. In Proceedings of International Conference on Computer Vision, pages 374–381, Cambridge, MA, 1995.CrossRefGoogle Scholar

[19] Blanz, V. and Vetter, T.. A morphable model for the synthesis of 3d faces. In Computer Graphics, Annual Conference Series, pages 187–194. SIGGRAPH, August 1999.Google Scholar

[20] Bledsoe, M.. The model method in facial recognition. In Technical Report PRI 15, Panoramic Research, Inc., Palo Alto, CA, 1964.Google Scholar

[21] Blinn, J. F.. Models of light reflection for computer synthesized pictures. In SIGGRAPH, pages 192–198, 1977.CrossRefGoogle Scholar

[22] Blinn, J. F. and Newell, M. E.. Texture and reflection in computer generated images. Communications of the ACM, 19(10):542–546, 1976.CrossRefGoogle Scholar

[23] Boyer, K. L. and Kak, A.. Color-encoded structured light for rapid active ranging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 9(1):14–28, 1987.CrossRefGoogle ScholarPubMed

[24] Brainard, D. and Wandell, B.A.. A bilinear model of the illuminant's effect on color appearance. In Landy, M. and Movshon, J. A., editors, Computational Models of Visual Processing, pages 171–186. Massachusetts Institute of Technology, 1991.Google Scholar

[25] Brand, M.. Voice puppetry. In SIGGRAPH, pages 21–28, 1999.Google Scholar

[26] Bregler, C., Covell, M., and Slaney, M.. Video rewrite: Driving visual speech with audio. In SIGGRAPH, pages 353–360, 1997.Google Scholar

[27] Cai, Q., Zhang, Q., Sankaranarayanan, A., Zhang, Z., and Liu, Z.. Real time head pose tracking from multiple cameras with a generic model. In IEEE Workshop on Analysis and Modeling of Faces and Gestures, in conjunction with CVPR2010, San Francisco, June 2010.Google Scholar

[28] Caspi, D., Kiryati, N., and Shamir, J.. Range imaging with adaptive color structured light. IEEE Transaction on Pattern Analysis and Machine Intelligence, 20(5):470–480, 1998.CrossRefGoogle Scholar

[29] Chang, J. T., Jin, J., and Yu, Y.. A practical model for hair mutual interactions. In Symposium on Computer Animation, pages 73–80, 2002.Google Scholar

[30] Chellapilla, K. and Simard, P.. Using machine learning to break visual human interaction proofs (hips). In Advances in Neutral Information Processing Systems 17, Neural Information Processing Systems (NIPS), pages 265–272, 2004.Google Scholar

[31] Chen, L., Saeyor, S., Dohi, H., and Ishzuka, M.. A system of 3d hairstyle synthesis based on the wisp model. The Visual Computer, 15(4):159–170, 1999.CrossRefGoogle Scholar

[32] Chen, Q. and Medioni, G.. Building 3-d human face models from two photographs. The Journal of VLSI Signal Processing, 27(1–2):127–140, 2001.CrossRefGoogle Scholar

[33] Chen, Y. and Medioni, G.. Object modelling by registration of multiple range images. Image and Vision Computing, 10(3):145–155, 1992.CrossRefGoogle Scholar

[34] Choi, C. S. et al. Analysis and synthesis of facial image sequences in model-based image coding. IEEE Transaction on Circuits and Systems for Video Technology, 4:257–275, 1994.CrossRefGoogle Scholar

[35] Cohen-Tannoudji, C. et al. Quantum Mechanics. John Wiley & Sons, 1977.Google Scholar

[36] Colmenarez, A. and Huang, T. S.. Face detection with information-based maximum discrimination. In IEEE Conference on Computer Vision and Pattern Recognition, pages 782–788, San Juan, Puerto Rico, 1997.CrossRefGoogle Scholar

[37] Cootes, T. F., Edwards, G. J., and Taylor, C. J.. Active appearance models. IEEE Transaction on Pattern Analysis and Machine Intelligence, 23(6):681–685, 2001.CrossRefGoogle Scholar

[38] Cootes, T. F., Taylor, C. J., Cooper, D. H., and Graham, J.. Active shape models – Their training and application. Computer Vision and Image Understanding, 61(1):18–23, 1995.CrossRefGoogle Scholar

[39] Daldegan, A., Thalmann, N. M., Kurihara, T., and Thalmann, D.. An integrated system for modeling, animating and rendering hair. Computer Graphics Forum, 12(3):211–221, 1993.CrossRefGoogle Scholar

[40] Dariush, B., Kang, S. B., and Waters, K.. Spatiotemporal analysis of face profiles: Detection, segmentation, and registration. In Proceedings of the 3rd International Conference on Automatic Face and Gesture Recognition, pages 248–253, 1998.CrossRefGoogle Scholar

[41] Darrell, T., Moghaddam, B., and Pentland, A.. Active face tracking and pose estimation in an interactive room. In IEEE Computer Vision and Pattern Recognition, pages 67–72, 1996.Google Scholar

[42] Darwin, C.. The Expression of the Emotions in Man and Animals. John Murray, 1872.CrossRefGoogle Scholar

[43] Debevec, P. E., Hawkins, T., Tchou, C., Duiker, H.-P., Sarokin, W., and Sagar, M.. Acquiring the reflectance field of a human face. In SIGGRAPH, pages 145–156, 2000.Google Scholar

[44] DeCarlo, D. and Metaxas, D.. Optical flow constraints on deformable models with applications to face tracking. International Journal of Computer Vision, 38(2):99–127, 2001.CrossRefGoogle Scholar

[45] Dementhon, D. and Davis, L.. Model-based object pose in 25 lines of code. International Journal of Computer Vision, 15(1):123–141, 1995.CrossRefGoogle Scholar

[46] Devernay, F. and Faugeras, O. D.. Computing differential properties of 3-d shapes from stereoscopic images without 3-d models. In IEEE Conference on Computer Vision and Pattern Recognition, Seattle, Washington, June 1994.Google Scholar

[47] Dimitrijevic, M., Ilic, S., and Fua, P.. Accurate face models from uncalibrated and ill-lit video sequences. In IEEE Conference on Computer Vision and Pattern Recognition, volume II, pages 1034–1041, 2004.Google Scholar

[48] Dipanda, A. and Woo, S.. Efficient correspondence problem-solving in 3-d shape reconstruction using a structured light system. Optical Engineering, 44(9):1–14, 2005.CrossRefGoogle Scholar

[49] Duchenne, G. B.. The Mechanism of Human Facial Expression. Jules Renard, 1862.Google Scholar

[50] Duchenne, G. B.. The Mechanism of Human Facial Expression. Cambridge University Press, 1990.CrossRefGoogle Scholar

[51] D'Zmura, M.. Color constancy: surface color from changing illumination. Journal of Optical Society of America, 9(3):490–493, 1992.CrossRefGoogle Scholar

[52] Ekman, P. and Friesen, W. V.. Manual for the Facial Action Coding System. Consulting Psychologists Press, 1978.Google Scholar

[53] Ezzat, T., Geiger, G., and Poggio, T.. Trainable videorealistic speech animation. In SIGGRAPH'02, pages 388–398, 2002.CrossRefGoogle Scholar

[54] Farin, G.. Curves and Surfaces for CAGD: A Practical Guide, 3rd edition. Academic Press, 1993.Google Scholar

[55] Faugeras, O.. Three-Dimensional Computer Vision: a Geometric Viewpoint. MIT Press, 1993.Google Scholar

[56] Felsen, G. and Dan, Y.. A natural approach to studying vision. Nature Neuroscience, 8(12):1643–1646, 2005.CrossRefGoogle ScholarPubMed

[57] Fletcher, R.. Practical Methods of Optimization, 2nd edition. John Wiley & Sons, 1987.Google Scholar

[58] Bertails, F., Kim, T.-Y., Cani, M.-P., and Neumann, U.. Adaptive wisp tree – A multiresolution control structure for simulating dynamic clustering in hair motion. In Sympisium on Computer Animation, pages 207–213, 2003.Google Scholar

[59] Foley, J. and Dam, A. V.. Fundamentals of Interactive Computer Graphics. Addison-Wesley, 1984.Google Scholar

[60] Foley, J., Dam, A., Feiner, S., and Hughes, J.. Computer Graphics: Principles and Practice. Addison-Wesley, 1992.Google Scholar

[61] Forsyth, D. A. and Ponce, J.. Computer Vision. Prentice Hall, 2003.Google Scholar

[62] Fraser, N.. Stage Lighting Design: A Practical Guide. Crowood Press, 2000.Google Scholar

[63] Freeman, W., Pasztor, E., and Carmichael, O.. Learning low-level vision. International Journal of Computer Vision, 40(1):25–47, 2000.CrossRefGoogle Scholar

[64] Freeman, W. T. and Tenenbaum, J. B.. Learning bilinear models for two-factor problems in vision. In IEEE Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, June 1997.Google Scholar

[65] Fu, Y. and Zheng, N.. M-face: An appearance based photorealistic model for multiple facial attributes rendering. IEEE Transactions on Circuits and Systems for Video Technology, 16(7):830–842, 2006.CrossRefGoogle Scholar

[66] Fua, P.. Using model-driven bundle-adjustment to model heads from raw video sequences. In International Conference on Computer Vision, pages 46–53, Sept. 1999.Google Scholar

[67] Fua, P. and Miccio, C.. From regular images to animated heads: A least squares approach. In European Conference on Computer Vision, pages 188–202, 1998.Google Scholar

[68] Fua, P. and Miccio, C.. Animated heads from ordinary images: A least-squares approach. Computer Vision and Image Understanding, 75(3):247–259, 1999.CrossRefGoogle Scholar

[69] Galton, F.. Personal identification and description. Nature, 38(973):201–202, 1888.Google Scholar

[70] Gauthier, I. and Logothetis, N.. Is face recognition not so unique after all? Journal of Cognitive Neuropsychology, 17(1/2/3):125–142, 2000.CrossRefGoogle ScholarPubMed

[71] Gelfand, I. M. and Fomin, S. V.. Calculus of Variations. Dover Publications, 1963.Google Scholar

[72] Georghiades, A., Belhumeur, P., and Kriegman, D.. From few to many: Illumination cone models for face recognition under variable lighting and pose. Pattern Analysis and Machine Intelligence, 23(6):643–660, 2001.CrossRefGoogle Scholar

[73] Goldman, D. B.. Fake fur rendering. In SIGGRAPH, pages 127–134, 1997.Google Scholar

[74] Golovinskiy, A., Matusik, W., Pfister, H., Rusinkiewica, S., and Funkhouser, T.. A statistical model for synthesis of detailed facial geometry. ACM Transaction on Graphics, 25(3):1025–1034, 2006.CrossRefGoogle Scholar

[75] Gonzalez, R. and Woods, R.. Digital Image Processing. Addison-Wesley Publishing Company, 1992.Google Scholar

[76] Grabli, S., Sillion, F., Marschner, S. R., and Lengyl, J. E.. Image-based hair capture by inverse lighting. In Graphics Interface, pages 51–58, Calgary, Alberta, May 2002.Google Scholar

[77] Gray, F.. Pulse code communication. U.S. Patent No. 2,632,058, March 1953.Google Scholar

[78] Greene, N.. Environment mapping and other applications of world projections. IEEE Computer Graphics and Applications, 6(11):21–29, 1986.Google Scholar

[79] Gu, L., Li, S. Z., and Zhang, H.-J.. Learning probabilistic distribution model for multi-view face detection. In IEEE Conference on Computer Vision and Pattern Recognition, volume II, pages 116–122, 2001.Google Scholar

[80] Guenter, B., Grimm, C., Wood, D., Malvar, H., and Pighin, F.. Making faces. In SIGGRAPH, pages 55–66, 1998.Google Scholar

[81] Hadap, S. and Magnenat-Thalmann, N.. Interactive hair styler based on fluid flow. In Computer Animation and Simulation, pages 87–100, Interlaken, Switzerland, August 2000.Google Scholar

[82] Hallinan, P.. A low-dimensional representation of human faces for arbitrary lighting conditions. In IEEE Conference on Computer Vision and Pattern Recognition, pages 995–999, Ft. Collins, CO USA, 1994.Google Scholar

[83] Hanrahan, P. and Krueger, W.. Reflection from layered surfaces due to subsurface scattering. In SIGGRAPH, pages 165–174, August 1993.Google Scholar

[84] Haralick, R. M., Lee, C.-N., Ottenberg, K., and Nölle, M.. Review and analysis of solutions of the three point perspective pose estimation problem. International Journal of Computer Vision, 13(3):331–356, 1994.CrossRefGoogle Scholar

[85] Haralick, R. M. and Shapiro, L. G.. Computer and Robot Vision, Addison–Wesley, 1991.Google Scholar

[86] Hardeberg, J.. Acquisition and reproduction of colour images: Colorimetric and multispectral approaches. Ph.D. dissertation, Ecole Nationale Superieure des Telecommunications, 1999.

[87] Harris, C. and Stephens, M.. A combined corner and edge detector. In Proceedings of the 4th Alvey Vision Conference, pages 189–192, 1988.Google Scholar

[88] Hartley, R. and Zisserman, A.. Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.Google Scholar

[89] Haxby, J., Gobbini, M. I., Furey, M., Ishai, A., Schouten, J., and Pietrini, P.. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science, 293(5539):2425–2430, 2001.CrossRefGoogle ScholarPubMed

[90] Heeger, D. J. and Bergen, J. R.. Pyramid-based texture analysis/synthesis. In SIGGRAPH, pages 229–238, 1995.Google Scholar

[91] Horn, B. K.. Closed-form solution of absolute orientation using unit quaternions. Journal of the Optical Society A, 4(4):629–642, 1987.CrossRefGoogle Scholar

[92] Horn, B. K. P.. Shape from shading: a method for obtaining the shape of a smooth opaque object from one view. Ph.D. thesis, MIT, 1970.

[93] Horn, B. K. P.. Height and gradient from shading. International Journal of Computer Vision, 5(1):584–595, 1990.CrossRefGoogle Scholar

[94] Horn, B. K. P. and Schunk, B. G.. Determining optical flow. Artificial Intelligence, 17:185–203, 1981.CrossRefGoogle Scholar

[95] Horprasert, T.. Computing 3-D head orientation from a monocular image. In International Conference of Automatic Face and Gesture Recognition, pages 242–247, Killington, Vermont, USA, 1996.CrossRefGoogle Scholar

[96] Ip, H. H. S. and Yin, L.. Constructing a 3d individualized head model from two orthogonal views. The Visual Computer, (12):254–266, 1996.CrossRefGoogle Scholar

[97] Huang, X., Acero, A., and Hon, H.-W.. Spoken Language Processing. Prentice Hall PTR, 2001.Google Scholar

[98] Hubder, P. J.. Robust Statistics. Wiley, 1981.CrossRefGoogle Scholar

[99] Anjyo, K., Usami, Y., and Kurihara, T.. A simple method for extracting the natural beauty of hair. In SIGGRAPH, pages 111–120, 1992.CrossRefGoogle Scholar

[100] Itti, L., Dhavale, N., and Pighin, F.. Realistic avatar eye and head animation using a neurobiological model of visual attention. In Proceedings of SPIE, pages 64–78, San Diego, CA, USA, August 2003.Google Scholar

[101] Xu, J., Lipton, R., Essa, I., Sung, M., and Zhu, Y.. Mandatory human participation: A new authentication scheme for building secure systems. In IEEE ICCCN, page 547–552, Dallas, Texas, October 2003.Google Scholar

[102] Jensen, H. W. and Buhler, J.. A rapid hierarchical rendering technique for translucent materials. In SIGGRAPH, pages 576–581, 2002.Google Scholar

[103] Jensen, H. W., Marschner, S. R., Levoy, M., and Hanrahan, P.. A practical model for subsurface light transport. In SIGGRAPH, pages 511–518, 2001.Google Scholar

[104] Joshi, P., Tien, W. C., Desbrun, M., and Pighin, F.. Learning controls for blend shape based realistic facial animation. In Proceedings of the Symposium on Computer Animation (SCA'03), pages 187–192, San Diego, CA, USA, July 2003.Google Scholar

[105] Kajiya, J. T. and Kay, T. L.. Rendering fur with three dimensional textures. In SIGGRAPH, pages 271–280, July 1989.CrossRefGoogle Scholar

[106] Kanade, T.. Picture processing system by computer complex and recognition of human faces. Doctoral dissertation, Kyoto University, 1973.Google Scholar

[107] Kanade, T.. Computer recognition of human faces. Interdisciplinary Systems Research, 47, Birkhauser Verlag, Basel, Switzerland, 1977.Google Scholar

[108] Kass, M., Witkin, A., and Terzopoulos, D.. SNAKES: Active contour models. The International Journal of Computer Vision, 1:321–332, 1988.CrossRefGoogle Scholar

[109] Kelly, M. D.. Visual identification of people by computer. In Technical Report AI 130, Stanford University, Palo Alto, CA, 1971.Google Scholar

[110] Kim, T. Y. and Neumann, U.. A thin shell volume for modeling human hair. In Computer Animation, pages 121–128, Philadelphia, USA, 2000.Google Scholar

[111] Kim, T. Y. and Neumann, U.. Interactive multiresolution hair modeling and editing. ACM Transaction on Graphics, 21(3):620–629, 2002.CrossRefGoogle Scholar

[112] Kirby, M. and Sirovich, M.. Application of the Karhunen–Loeve procedure for the characterization of human faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(1):103–108, 1990.CrossRefGoogle Scholar

[113] Kong, W. and Nakajima, M.. Hair rendering by jittering and pseudo shadow. In Computer Graphics International, Geneva, Switzerland, June 2000.Google Scholar

[114] Land, E. and McCann, J.. Lightness and retinex theory. Journal of the Optical Society of America, 61(1):1–11, 1971.CrossRefGoogle ScholarPubMed

[115] Lasseter, J., Ostby, E., Reeves, W., Good, C., and Rydstrom, G.. Tin Toy (film). Pixar, 1988.Google Scholar

[116] LeBlanc, A. M., Turner, R., and Thalmann, D.. Rendering hair using pixel blending and shadow buffers. The Journal of Visualization and Computer Animation, 2(3):92–97, 1991.CrossRefGoogle Scholar

[117] Leclerc, Y. G. and Bobick, A. F.. The direct computation of height from shading. In IEEE Conference on Computer Vision and Pattern Recognition, Maui, Hawaii, June 1991.Google Scholar

[118] Lee, J., Moghaddam, B., Pfister, H., and Machiraju, R.. A bilinear illumination model for robust face recognition. International Conference on Computer Vision, II:1177–1184, 2005.Google Scholar

[119] Lee, K.-C., Ho, J., and Kriegman, D.. Nine points of light: Accquiring subspaces for face recognition under variable lighting. In IEEE Conference on Computer Vision and Pattern Recognition, 357–362, Kauai, HI, USA, 2001.Google Scholar

[120] Lee, S. P., Badler, J. B., and Badler, N. I.. Eyes alive. In SIGGRAPH, pages 637–644, 2002.Google Scholar

[121] Lee, Y. C., Terzopoulos, D., and Waters, K.. Constructing physics-based facial models of individuals. In Proceedings of Graphics Interface, pages 1–8, Toronto, Canada, 1993.Google Scholar

[122] Lee, Y. C., Terzopoulos, D., and Waters, K.. Realistic modeling for facial animation. In SIGGRAPH, pages 55–62, 1995.Google Scholar

[123] Lepetit, L. and Fua, P.. Monocular model-based 3d tracking of rigid objects: A survey. Foundations and Trends in Computer Graphics and Vision, 1(1):1–89, 2005.CrossRefGoogle Scholar

[124] Lewis, J. P. and Parke, F. I.. Automatic lip-synch and speech synthesis for character animation. In Graphics Interface, pages 143–147, Calgary, 1987.Google Scholar

[125] Li, H., Roivainen, P., and Forchheimer, R.. 3-D motion estimation in model-based facial image coding. IEEE Pattern Analysis and Machine Intelligence, 15(6):545–555, June 1993.CrossRefGoogle Scholar

[126] Li, S. Z. and Gu, L.. Real-time multi-view face detection, tracking, pose estimation, alignment, and recognition. In IEEE Conference on Computer Vision and Pattern Recognition Demo Summary, Kauai, HI, USA, 2001.Google Scholar

[127] Li, S. Z. and Jain, K.. Handbook of Face Recognition. Springer-Verlag, 2004.Google Scholar

[128] Liang, L., Xiao, R., Wen, F., and Sun, J.. Face alignment via component-based discriminative search. In European Conference on Computer Vision, volume 2, Marseille, France, 2008.Google Scholar

[129] Litwinowicz, P. and Williams, L.. Animating images with drawings. SIGGRAPH, pages 235–242, 1990.Google Scholar

[130] Liu, Z., Shan, Y., and Zhang, Z.. Expressive expression mapping with ratio images. SIGGRAPH, pages 271–276, 2001.Google Scholar

[131] Liu, Z., Shan, Y., and Zhang, Z.. Image-based surface detail transfer. IEEE Computer Graphics and Applications, 24(3):30–35, 2004.Google ScholarPubMed

[132] Liu, Z., Zhang, C., and Zhang, Z.. Learning-based perceptual image quality improvement for video conferencing. In IEEE International Conference on Multimedia and Expo, Beijing, China, July 2007.Google Scholar

[133] Liu, Z. and Zhang, Z.. Robust head motion computation by taking advantage of physical properties. In IEEE Workshop on Human Motion, pages 73–77, Los Alamitos, CA, USA, 2000.Google Scholar

[134] Liu, Z., Zhang, Z., Jacobs, C., and Cohen, M.. Rapid modeling of animated faces from video. In Proceedings of Visual 2000, pages 58–67, Mexico City, Mexico, 2000.Google Scholar

[135] Liu, Z., Zhang, Z., Jacobs, C., and Cohen, M.. Rapid modeling of animated faces from video. Journal of Visualization and Computer Animation, 12(4):227–240, 2001.CrossRefGoogle Scholar

[136] Loop, C. and Zhang, Z.. Computing rectifying homographies for stereo vision. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Colorado, June 1999.Google Scholar

[137] Lu, L., Zhang, Z., Shum, H.-Y., Liu, Z., and Chen, H.. Model- and exemplar-based robust head pose tracking under occlusion and varying expression. In IEEE Workshop on Models versus Exemplars in Computer Vision, in Conjunction with CVPR'2001, pages 58–67, Kauai, Hawaii, 2001.Google Scholar

[138] Ma, S. and Zhang, Z.. Computer Vision: Fundamentals of Computational Theory and Algorithms. Chinese Academy of Sciences (in Chinese), 1995.Google Scholar

[139] MacRobert, T. M.. Spherical Harmonics: An Elementary Treatise on Harmonic Functions with Applications. Dover Publications, 1948.Google Scholar

[140] Magnenat-Thalmann, N., Primeau, N. E., and Thalmann, D.. Abstract muscle actions procedures for human face animation. The Visual Computer, 3(5):290–297, 1988.CrossRefGoogle Scholar

[141] Marschner, S., Jensen, H. W., Cammarano, M., Worley, S., and Hanrahan, P.. Light scattering from human hair fibers. ACM Transaction on Graphics, 22(3):780–791, 2003.CrossRefGoogle Scholar

[142] Marschner, S. R. and Greenberg, D. P.. Inverse lighting for photography. In IST/SID Fifth Color Imaging Conference, Scattsdale, Arizona, USA, 1997.Google Scholar

[143] Marschner, S. R., Guenter, B., and Raghupathy, S.. Modeling and rendering for realistic facial animation. In Rendering Techniques, pages 231–242. Springer, 2000.Google Scholar

[144] Marschner, S. R., Westin, S., Lafortune, E., Torance, K., and Greenberg, D.. Imagebased brdf measurement including human skin. In Rendering Techniques, pages 139–152, Granada, Spin, 1999.Google Scholar

[145] McAdams, A., Selle, A., Ward, K., Sifakis, E., and Teran, J.. Detail preserving continuum simulation of stright hair. ACM Transaction on Graphics, 28(3):62:1–62:6, 2009.CrossRefGoogle Scholar

[146] Messina, G., Castorina, A., Battiato, S., and Bosco, A.. Image quality improvement by adaptive exposure correction techniques. In IEEE International Conference on Multimedia and Expo (ICME), pages 549–552, Amsterdam, The Netherlands, July 2003.Google Scholar

[147] Miller, G. and Hoffman, C.. Illumination and reflection maps: Simulated objects in simulated and real environments. SIGGRAPH 84 Advanced Computer Graphics Animation Seminar Notes, 1984.Google Scholar

[148] Moon, J. T. and Marschner, S. R.. Simulating multiple scattering in hair using a photon mapping approach. ACM Transaction on Graphics, 25(3):1067–1074, 2006.CrossRefGoogle Scholar

[149] Moon, J. T., Walter, B., and Marschner, S. R.. Efficient multiple scattering in hair using spherical harmonics. ACM Transaction on Graphics, 27(3):31:1–31–7, 2008.CrossRefGoogle Scholar

[150] More, J.. The Levenberg–Marquardt algorithm, implementation and theory. In Watson, G. A., editor, Numerical Analysis, Lecture Notes in Mathematics 630. Springer-Verlag, 1977.Google Scholar

[151] Moreno, P., Joerg, C., Thong, J. M. V., and Glickman, O.. A recursive algorithm for the forced alignment of very long audio segments. In IEEE International Conference on Spoken Language Processing, pages 2711–2714, Sydney, Australia, 1998.Google Scholar

[152] Mori, G. and Malik, J.. Recognizing objects in adversarial clutter: Breaking a visual captcha. In IEEE Conference on Computer Vision and Pattern Recognition, pages I:134–141, 2003.Google Scholar

[153] Murase, H. and Nayar, S. K.. Visual learning and recognition of 3-d objects from appearance. International Journal of Computer Vision, 14(1):5–24, 1995.CrossRefGoogle Scholar

[154] Murray-Coleman, J. F. and Smith, A. M.. The automated measurement of brdfs and their application to luminaire modeling. Journal of the Illuminating Engineering Society, 19(1):87–99, 1990.CrossRefGoogle Scholar

[155] Newman, R., Matsumoto, Y., Rougeaux, S., and Zelinsky, A.. Real-time stereo tracking for head pose and gaze estimation. In Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), pages 122–128, Grenoble, France, 2000.Google Scholar

[156] Nishino, K., Ikeuchi, K., and Zhang, Z.. Re-rendering from a sparse set of images. In Technical Report DU-CS-05-12, Drexel University, 2005.Google Scholar

[157] Nishino, K., Zhang, Z., and Ikeuchi, K.. Determining reflectance parameters and illumination distribution from a sparse set of images for view-dependent image synthesis. In International Conference on Computer Vision, pages 599–606, Vancouver, BC, Canada, 2001.Google Scholar

[158] Noar, M.. Verification of a human in the loop or identification via the turing test. Unpublished notes, September, 13 1996.Google Scholar

[159] Noh, J. and Neumann, U.. Expression cloning. In SIGGRAPH, pages 277–288, 2001.Google Scholar

[160] Owens, E. and Blazek, B.. Visemes observed by hearingimpaired and normal-hearing adult viewers. J. Speech and Hearing Research, 28:381–393, 1985.CrossRefGoogle Scholar

[161] Paris, S., Briceno, H. M., and Sillion, F. X.. Capture of hair geometry from multiple images. ACM Transaction on Graphics, 23(3):712–719, August 2004.CrossRefGoogle Scholar

[162] Parke, F. I.. Computer generated animation of faces. In ACM National Conference, New York, NY, USA, 1972.Google Scholar

[163] Parke, F. I.. A parametric model of human faces. PhD thesis, University of Utah, 1974.

[164] Parke, F. I. and Waters, K.. Computer facial animation. AKPeters, 1996.Google Scholar

[165] Pearce, A., Wyvill, B., Wyvill, G., and Hill, D.. Speech and expression: A computer solution to face animation. In Graphics Interface, pages 136–140, Calgary, Alberta, Canada, 1986.Google Scholar

[166] Phong, B.-T.. Illumination for computer generated pictures. Communication of ACM, 18(6):311–317, 1975.CrossRefGoogle Scholar

[167] Piegl, L. and Tiller, W.. The NURBS Book. Springer, 1995.CrossRefGoogle Scholar

[168] Pighin, F., Hecker, J., Lischinski, D., Szeliski, R., and Salesin, D. H.. Synthesizing realistic facial expressions from photographs. In SIGGRAPH, pages 75–84, 1998.Google Scholar

[169] Pighin, F., Salesin, D. H., and Szeliski, R.. Resynthesizing facial animation through 3d model-based tracking. International Conference on Computer Vision, pages 143–150, Kerkyra, Corfu, Greece, 1999.Google Scholar

[170] Platt, S. and Badler, N.. Animating facial expression. Computer Graphics, 15(3):245–252, 1981.CrossRefGoogle Scholar

[171] Proesmans, M., Cool, L. V., and Oosterlinck, A.. Active acquisition of 3d shape for moving objects. In International Conference on Image Processing, Lausanne, Switzerland, Sept. 1996.Google Scholar

[172] Pyun, H., Kim, Y., Chae, W.Kang, H. W., and Shin, S. Y.. An example-based approach for facial expression cloning. In Symposium on Computer Animation (SCA'03), pages 167–176, San Diego, CA, USA, 2003.Google Scholar

[173] Qing, L., Shan, S., and Gao, W.. Face recognition with harmonic de-lighting. In Asian Conference on Computer Vision, volume 2, pages 824–829, Jeju, Korea, 2004.Google Scholar

[174] Qing, L., Shan, S., Gao, W., and Du, B.. Face recognition under generic illumination based on harmonic relighting. International Journal of Pattern Recognition and Artificial Intelligence, 19(4):513–531, 2005.CrossRefGoogle Scholar

[175] Qiu, G.. From content-based image retrieval to example-based image processing. University of Nottingham Technical Report: Report-cvip-05-2004, May 2004.Google Scholar

[176] Ramamoorthi, R.. Analytic pca construction for theoretical analysis of lighting variability in images of a lambertian object. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(10):1322–1333, 2002.CrossRefGoogle Scholar

[177] Ramamoorthi, R. and Hanrahan, P.. An efficient representation for irradiance environment maps. In SIGGRAPH, pages 497–500, 2001.Google Scholar

[178] Ramamoorthi, R. and Hanrahan, P.. A signal-processing framework for inverse rendering. In SIGGRAPH, pages 117–128, 2001.Google Scholar

[179] Reinhard, E., Ashikhmin, M., Gooch, B., and Shirley, P.. Color transfer between images. IEEE Computer Graphics and Applications, 21(5):34–41, 2001.CrossRefGoogle Scholar

[180] Riklin-Raviv, T. and Shashua, A.. The quotient image: Class based re-rendering and recongnition with varying illuminations. In IEEE Conference on Computer Vision and Pattern Recognition, pages 566–571, Ft. Collins, Co, USA, 1999.Google Scholar

[181] Rosenblum, R., Carlson, W., and Tripp, E.. Simulating the structure and dynamics of human hair: Modeling, rendering, and animation. The Journal of Visualization and Computer Animation, 2(4):141–148, 1991.CrossRefGoogle Scholar

[182] Rousseeuw, P. and Leroy, A.. Robust Regression and Outlier Detection. John Wiley & Sons, 1987.CrossRefGoogle Scholar

[183] Roy-Chowdhury, A. and Chellappa, R.. Stochastic approximation and ratedistortion analysis for robust structure and motion estimation. International Journal of Computer Vision, 55(1):27–53, 2003.CrossRefGoogle Scholar

[184] Rui, Y. and Liu, Z.. Artifacial: Automated reverse turing test using facial features. Multimedia Systems, 9(6):493–502, 2004.CrossRefGoogle Scholar

[185] Sagar, M. A., Bullivant, D., Mallinson, G. D., Hunter, P. J., and Hunter, I. W.. A virtual environment and model of the eye for surgical simulation. In SIGGRAPH, pages 205–212, 1994.Google Scholar

[186] Saitoh, F.. Image contrast enhancement using genetic algorithm. In IEEE International Conference on SMC, pages 899–904, Amsterdam, The Netherlands, October 1999.Google Scholar

[187] Salvi, J., Pages, J., and Batlle, J.. Pattern codification strategies in structured light systems. Pattern Recognition, 37(4):827–849, 2004.CrossRefGoogle Scholar

[188] Sato, Y. and Ikeuchi, K.. Temporal-color space analysis of reflection. Journal of Optical Society of America A, 11(11):2990–3002, November 1994.CrossRefGoogle Scholar

[189] Saulnier, A., Viaud, M. L., and Geldreich, D.. Real-time facial analysis and synthesis chain. In Bichsel, M., editor, International Workshop on Automatic Face and Gesture Recogntion, pages 86–91, Zurich, Switzerland, 1995.Google Scholar

[190] Savvides, M., Kumar, B. Vijaya, and Khosla, P.. ‘Corefaces’-robust shift invariant pca based correlation filter for illumination tolerant face recognition. In IEEE Conference on Computer Vision and Pattern Recognition, II:834–841, 2004.Google Scholar

[191] Seize, S. M. and Dyer, C. R.. View morphing. In SIGGRAPH, pages 21–30, 1996.Google Scholar

[192] Shan, Y., Liu, Z., and Zhang, Z.. Image-based surface detail transfer. In IEEE Conference on Computer Vision and Pattern Recognition, volume II, pages 794–799, 2001.Google Scholar

[193] Shan, Y., Liu, Z., and Zhang, Z.. Model-based boundle adjustment with application to face modeling. In International Conference on Computer Vision, pages 644–651, Vancauver, BC, Canada, 2001.Google Scholar

[194] Shashua, A.. Geometry and photometry in 3D visual recognition. Ph.D. thesis, MIT, 1992.

[195] Shi, C., Yu, K., Li, J., and Li, S.. Automatic image quality improvement for video-conferencing. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Quebec, Canada, 2004.Google Scholar

[196] Shi, J. and Tomasi, C.. Good features to track. In IEEE Conference on Computer Vision and Pattern Recognition, pages 593–600, Washington, DC, 1994.Google Scholar

[197] Sim, T., Baker, S., and Bsat, M.. The cmu pose, illumination, and expression (pie) database. In Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, pages 46–51, Washington, DC, USA, 2002.Google Scholar

[198] Sim, T., Baker, S., and Bsat, M.. The cmu pose, illumination, and expression database. Pattern Analysis and Machine Intelligence, 25(12):1615–1618, 2003.Google Scholar

[199] Sirovich, M. and Kirby, M.. Low-dimensional procedure for the characterization of human faces. Journal of the Optical Society of America A, 4:519–524, 1987.CrossRefGoogle ScholarPubMed

[200] Song, M., Dong, Z., Theobalt, C., Wang, H., Liu, Z., and Seidel, H.-P.. A generic framework for efficient 2d and 3d facial expression analogy. IEEE Transaction on Multimedia, 9(7):1384–1395, 2007.CrossRefGoogle Scholar

[201] ,Spharmonickit. Description retrived from http://www.cs.dartmouth.edu/∼geelong/sphere/, April 2002.

[202] Stam, J.. Multi-scale stochastic modeling of complext natural phenomena. Ph.D. thesis, University of Toronto, 1995.

[203] Stokes, R.. Human factors and appearance design considerations of the mod ii picturephone station set. IEEE Transaction on Communication Technology, 17(2):318–323, 1969.CrossRefGoogle Scholar

[204] Sumner, R. W. and Popovic, J.. Deformation tranfer for triangle meshes. In SIGGRAPH, pages 399–405, 2004.CrossRefGoogle Scholar

[205] Sun, M., Liu, Z., Qiu, J., Zhang, Z., and Sinclair, M.. Active lighting for video conferencing. IEEE Transaction on Circuits and Systems for Video Technology, 19(12):1819–1829, 2009.CrossRefGoogle Scholar

[206] Swain, C. T. and Haskell, B. G.. Color balance for video conferencing. In IEEE International Conference on Image Processing (ICIP), pages 815–819, Washington, DC, USA, 1997.CrossRefGoogle Scholar

[207] Terzopoulos, D. and Waters, K.. Analysis of dynamic facial images using physical and anatomical models. In International Conference on Computer Vision, pages 727–732, 1990.Google Scholar

[208] Terzopoulos, D. and Waters, K.. Physically-based facial modeling and animation. Journal of Visualization and Computer Animation, 1(4):73–80, 1990.CrossRefGoogle Scholar

[209] Terzopoulos, D. and Waters, K.. Techniques for realistic facial modeling and animation. In Magnenat-Thalmann, N. and Thalmann, D., editors, Computer Animation, pages 59–74. Springer-Verlag, 1991.CrossRefGoogle Scholar

[210] Terzopoulos, D. and Waters, K.. Analysis and synthesis of facial image sequences using physical and anatomical models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(6):569–579, 2000.CrossRefGoogle Scholar

[211] Tian, Y.-L., Kanade, T., and Cohn, J.. Recognizing action units for facial expression analysis. Pattern Analysis and Machine Intelligence, 23(2):97–115, 2001.CrossRefGoogle ScholarPubMed

[212] Tomasi, C. and Kanade, T.. Shape and motion from image streams under orthography: A factorization method. International Journal of Computer Vision, 9(2):137–154, 1992.CrossRefGoogle Scholar

[213] Torrance, K. and Sparrow, E. M.. Theory for off-specular reflection from roughened surfaces. Journal of Optical Society America, 57(9):1, 1967.CrossRefGoogle Scholar

[214] Tsumura, N., Ojima, N., Sato, K., Shiraishi, M., Shimizu, H., Nabeshima, H., Akazaki, S., Hori, K., and Miyake, Y.. Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin. ACM Transactions on Graphics, 22(3):770–779, 2003.CrossRefGoogle Scholar

[215] Turing, A.. Computing machinery and intelligence. Mind, 59(236):433–460, 1985.Google Scholar

[216] Turk, M. and Pentland, A.. Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71–96, 1991.CrossRefGoogle ScholarPubMed

[217] Vacchetti, L., Lepetit, V., and Fua, P.. Stable real-time 3d tracking using online and offline information. IEEE Transaction on Pattern Analysis and Machine Intelligence, 26(10):1385–1391, 2004.CrossRefGoogle ScholarPubMed

[218] Vasilescu, M. A. O. and Terzopoulos, D.. Multilinear analysis of image ensembles: Tensorfaces. In European Conference on Computer Vision, Copenhagen, Denmark, May 2002.Google Scholar

[219] Vasilescu, M. A. O. and Terzopoulos, D.. Multilinear independent component analysis. In IEEE Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA, 2005.Google Scholar

[220] Vetter, T. and Poggio, T.. Linear object classes and image synthesis from a single example image. Pattern Analysis and Machine Intelligence, 19(7):733–742, 1997.CrossRefGoogle Scholar

[221] Kumar, B. Vijaya, Savvides, M., and Xie, C.. Correlation pattern recognition for face recognition. Proceedingss of the IEEE, 94:1963–1976.CrossRef

[222] Viola, P. and Jones, M.. Robust real-time object detection. In Second International Workshop on Statistical and Computational Theories of Vision-Modeling, Learning, Computing and Sampling, pages 149–154, Vancouver, July 13, 2001.Google Scholar

[223] Wang, H., Li, S., Wang, Y., and Zhang, J.. Self quotient image for face recognition. In International Conference on Image Processing, pages 1397–1400, Singapore, 2004.Google Scholar

[224] Wang, H., Li, S., Wang, Y., and Zhang, W.. Illumination modeling and normalization for face recognition. In IEEE International Workshop on Analysis and Modeling of Faces and Gestures, pages 104–111, Nice, France, 2003.Google Scholar

[225] Wang, L., Yu, Y., Zhou, K., and Guo, B.. Example-based hair geometry synthesis. ACM Transaction on Graphics, 28(3):56:1–56:9, 2009.Google Scholar

[226] Wang, Q., Zhang, W., Tang, X., and Shum, H.. Real-time bayesian 3-d pose tracking. IEEE Transaction on Circuits and Systems for Video Technology, 16(12):1533–1541, 2006.CrossRefGoogle Scholar

[227] Wang, Y., Liu, Z., Hua, G., Wen, Z., Zhang, Z., and Samaras, D.. Face re-lighting from a single image under harsh lighting conditions. In IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, June 2007.Google Scholar

[228] Wang, Y., Zhang, L., Liu, Z., Hua, G., Wen, Z., Zhang, Z., and Samaras, D.. Face relighting from a single image under arbitrary unknown lighting conditions. IEEE Transaction on Pattern Recogniton and Machine Intelligence, 31(11):1968–1984, 2009.CrossRefGoogle ScholarPubMed

[229] Ward, G. J.. Measuring and modeling anisotropic reflection. In SIGGRAPH, pages 265–272, July 1992.CrossRefGoogle Scholar

[230] Ward, K., Bertails, F., Kim, T.-Y., Marschner, S. R., Cani, M.-P., and Lin, M. C.. A survey on hair modeling: Styling, simulation, and rendering. IEEE Transaction on Visualization and Computer Graphics, 13(2):213–234, 2007.CrossRefGoogle ScholarPubMed

[231] Ward, K. and Lin, M. C.. Adaptive grouping and subvision for simulating hair dynamics. In Pacific Graphics, pages 234–243, October 2003.Google Scholar

[232] Watanabe, Y. and Suenaga, Y.. A trigonal prism-based method for hair image generation. IEEE Computer Graphics and Applications, 12(1):47–53, 1992.CrossRefGoogle Scholar

[233] Waters, K.. A muscle model for animating three-dimensional facial expression. Computer Graphics, 22(4):17–24, 1987.CrossRefGoogle Scholar

[234] Wei, Y., Ofek, E., Quan, L., and Shum, H.-Y.. Modeling hair from multiple views. ACM Transaction on Graphics, 24(3):816–820, 2005.CrossRefGoogle Scholar

[235] Wen, Z., Hong, P., and Huang, T. S.. Real time speech driven facial animation using formant analysis. In IEEE International Conference on Multimedia and Expo, Tokyo, Japan, August 2001.Google Scholar

[236] Wen, Z., Liu, Z., and Huang, T. S.. Face relighting with radiance environment maps. In IEEE Conference on Computer Vision and Pattern Recognition, pages 158–165, Madison, WI, USA, 2003.Google Scholar

[237] Weyrich, T., Matusik, W., Pfister, H., Bickel, B., Donner, C., Tu, C., McAndless, J., Lee, J., Ngan, A., Jensen, H. W., and Gross, M.. Analysis of human faces using a measurement-based skin reflectance model. ACM Transaction on Graphics, 25(3):1013–1024, 2006.CrossRefGoogle Scholar

[238] Weyrich, T., Matusik, W., Pfister, H., Lee, J., Ngan, A., Jensen, H. W., and Gross, M.. A measurement-based skin reflectance model for face rendering and editing. In Technical Report, TR2005-046, Mitsubishi Electric Research Laboratories, Cambridge, MA, USA, 2005.Google Scholar

[239] Williams, L.. Performace-driven facial animation. In SIGGRAPH, pages 235–242, 1990.CrossRefGoogle Scholar

[240] Wolberg, G.. Digital Image Warping. IEEE Computer Society Press, 1990.Google Scholar

[241] Wood, D., Azuma, D., Aldinger, K., Curless, B., Duchamp, T., Salesin, D., and Stuetzle, W.. Surface light fields for 3d photography. In SIGGRAPH, pages 287–296, 2000.Google Scholar

[242] Xiao, R., Zhu, L., and Zhang, H.. Boosting chain learning for object detection. In International Conference on Computer Vision, volume 1, pages 709–715, 2003.Google Scholar

[243] Yan, S., Li, M., Zhang, H., and Cheng, Q.. Ranking prior likelihood distributions for bayesian shape localization framework. In International Conference on Computer Vision, pages 51–58, Nice, France, 2003.Google Scholar

[244] Yang, J., Stiefelhagen, R., Meier, U., and Waibel, A.. Real-time face and facial feature tracking and applications. In Proceedings of AVSP'98, pages 79–84, Terrigal, Australia, 1998.Google Scholar

[245] Yang, M., Roth, D., and Ahuja, N.. A SNoW-Based Face Detector. MIT Press, 2000.Google Scholar

[246] Yang, R. and Zhang, Z.. Eye gaze correction with stereovision for video tele-conferencing. In Proceedings of the 7th European Conference on Computer Vision, volume II, pages 479–494, Copenhagen, Denmark, May 2002.Google Scholar

[247] Yang, R. and Zhang, Z.. Model-based head pose tracking with stereovision. In IEEE International Conference on Automatic Face and Gesture Recognition (FG2002), pages 255–260, Washington, DC, 2002.CrossRefGoogle Scholar

[248] Yin, L., Wei, X., Sun, Y., Wang, J., and Rosato, M. J.. A 3d facial expression database for facial behavior research. In 7th International Conference on Automatic Face and Gesture Recognition (FGR06), pages 211–216, Southampton, UK, April 2006.Google Scholar

[249] Noh, J. Yong and Neumann, U.. Expression cloning. In Computer Graphics, Annual Conference Series, pages 277–288. SIGGRAPH, August 2001.Google Scholar

[250] Yu, Y.. Modeling realistic virtual hairstyles. In Pacific Graphics, pages 295–304, October 2001.Google Scholar

[251] Yuille, A. L., Cohen, D. S., and Hallinan, P. W.. Feature extraction from faces using deformable templates. International Journal of Computer Vision, 8(2):99–112, 1992.CrossRefGoogle Scholar

[252] Zhang, B., Hu, C., Cai, Q., Guo, B., and Shum, H.. E-partner: A photo-realistic conversation agent. In Second IEEE Pacific-Rim Conference on Multimedia, pages 261–268, Beijing, China, October 2001.Google Scholar

[253] Zhang, B., Liu, Z., and Guo, B.. Photo-realistic conversation agent. In Zhang, M. K. D. and Baciu, G., editors, Integrated Image and Graphics Technologies. Kluwer Academic Press, 2003.Google Scholar

[254] Zhang, C. and Zhang, Z.. Boosting-Based Face Detection and Adaptation. Synthesis Lectures on Computer Vision, Morgan and Claypool, 2010.Google Scholar

[255] Zhang, L. and Samaras, D.. Face recognition under variable lighting using harmonic image exemplars. In IEEE Conference on Computer Vision and Pattern Recognition, pages I:19–25, 2003.Google Scholar

[256] Zhang, L. and Samaras, D.. Face recognition from a single training image under arbitrary unknown lighting using spherical harmonics. Pattern Analysis and Machine Intelligence, 28(3):351–363, 2006.CrossRefGoogle ScholarPubMed

[257] Zhang, L., Snavely, N., Curless, B., and Seitz, S. M.. Spacetime faces: High resolution capture for modeling and animation. ACM Transaction on Graphics, 23(3):548–558, 2004.CrossRefGoogle Scholar

[258] Zhang, L., Wang, S., and Samaras, D.. Face synthesis and recognition from a single image under arbitrary unknown lighting using a spherical harmonic basis morphable model. In IEEE Conference on Computer Vision and Pattern Recognition, II:209–216, 2005.Google Scholar

[259] Zhang, Q., Liu, Z., Guo, B., Terzopoulos, D., and Shum, H.-Y.. Geometry-driven photorealistic facial expression synthesis. IEEE Transaction on Visualization and Computer Graphics, 12(1):48–60, 2006.CrossRefGoogle ScholarPubMed

[260] Zhang, R., Tsai, P.-S., Cryer, J. E., and Shah, M.. Shape from shading: A survey. IEEE Transaction on Pattern Recognition and Machine Intelligence, 21(8):690–706, 1999.CrossRefGoogle Scholar

[261] Zhang, Z.. Iterative point matching for registration of free-form curves and surfaces. Internal Journal of Computer Vision, 13(2):119–152, 1994.CrossRefGoogle Scholar

[262] Zhang, Z.. Motion and structure from two perspective views: From essential parameters to euclidean motion via fundamental matrix. Journal of the Optical Society of America A, 14(11):2938–2950, 1997.CrossRefGoogle Scholar

[263] Zhang, Z.. Determining the epipolar geometry and its uncertainty: A review. The International Journal of Computer Vision, 27(2):161–195, 1998.CrossRefGoogle Scholar

[264] Zhang, Z.. On the optimization criteria used in two-view motion analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(7):717–729, 1998.CrossRefGoogle Scholar

[265] Zhang, Z.. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330–1334, 2000.CrossRefGoogle Scholar

[266] Zhang, Z. and Faugeras, O.. Determining motion from 3D line segment matches: A comparative study. Image and Vision Computing, 9(1):10–19, 1991.CrossRefGoogle Scholar

[267] Zhang, Z. and Faugeras, O.. Estimation of displacements from two 3D frames obtained from stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(12):1141–1156, 1992.CrossRefGoogle Scholar

[268] Zhang, Z., Liu, Z., Adler, D., Cohen, M., Hanson, E., and Shan, Y.. Robust and rapid generation of animated faces from video images: A model-based modeling approach. International Journal of Computer Vision, 58(2):93–120, 2004.CrossRefGoogle Scholar

[269] Zhang, Z., Zhu, L., Li, S., and Zhang, H.. Real-time multiview face detection. In International Conference on Automatic Face and Gesture Recognition, pages 149–154, 2002.CrossRefGoogle Scholar

[270] Zhao, W. and Chellappa, R.. Illumination-insensitive face recognition using symmetric shape-from-shading. In IEEE Conference on Computer Vision and Pattern Recognition, pages 286–293, Hilton Head, SC, USA, 2000.Google Scholar

[271] Zhao, W. and Chellappa, R.. Face Processing: Advanced Modeling and Methods. Acamedic Press, 2006.Google Scholar

[272] Zheng, Q. and Chellappa, R.. Estimation of illuminant direction, albedo, and shape from shading. In IEEE Conference on Computer Vision and Pattern Recognition, pages 540–545, Maui, HI, USA, June 1991.Google Scholar

[273] Zhu, S., Guo, C., Wang, Y., and Xu, Z.. What are textons?International Journal of Computer Vision, 62(1–2):121–143, 2005.CrossRefGoogle Scholar