Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A limited memory algorithm for bound constrained optimization
SIAM Journal on Scientific Computing
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
ACM Transactions on Mathematical Software (TOMS)
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Turning to the masters: motion capturing cartoons
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
Image-based BRDF measurement including human skin
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
Multi-scale capture of facial geometry and motion
ACM SIGGRAPH 2007 papers
Face/Off: live facial puppetry
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
The Digital Emily project: photoreal facial modeling and animation
ACM SIGGRAPH 2009 Courses
High-quality single-shot capture of facial geometry
ACM SIGGRAPH 2010 papers
| Hi-index | 0.00 |
"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 2001 Electronic Theater. This short paper outlines the techniques developed in this project, and demonstrated in that film.The face tracking system we developed is exemplary 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 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 in 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 in resynthesis.