"The Human Face Project" is a short film documenting an effort at Walt Disney Feature Animation to track and animate human facial performance, which was shown in the SIGGRAPH 2002 Electronic Theater. This presentation will outline the techniques developed in this project, and demonstrated in that film. The face tracking system we developed is an example of model-based computer vision, and exploits the detailed degrees of freedom of a geometric face model to confine the space of solutions. Optical flow and/or successive rerendering of the model are employed in an optimization loop to converge on model parameter estimates. The structure of the model permits very principled mapping of estimated expressions to different targets. Of critical importance for media applications is the handling of details beyond the resolution or degrees of freedom of the tracking model. We describe behavioral modeling expedients for realizing these details in a plausible way. Biosketch: Lance J. Williams is an Academy Award and Steven A. Coons Award winning graphics researcher who made major contributions to texture map prefiltering, shadowing algorithms, facial animation, and image-based rendering. Prior to his current position as principal researcher at Nokia Research Center Hollywood, Lance was a software engineer for Google Earth, senior scientist at Applied Minds, Chief Scientist at Walt Disney Feature Animation, senior software engineer at DreamWorks SKG, and member of technical staff in Apple's Advanced Technology Group, where he contributed to QuickTime VR. He graduated from the University of Kansas in 1972, and attended graduate school at the University of Utah. He was awarded a Ph.D. in computer science from the University of Utah in 2000. UCLA Department of Statistics 2009-09-23T11:55:27-07:00 2009-10-27 Nokia Research Center Hollywood true 4:00 PM 421 4660 Geology Bldg. Nokia false true UCLA Department of Statistics Seminar Lance Williams 3:00 PM 2009-10-23T15:56:30-07:00