Performance-driven facial animation
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Computer facial animation
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Least squares conformal maps for automatic texture atlas generation
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Turning to the masters: motion capturing cartoons
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Computer generated animation of faces
ACM '72 Proceedings of the ACM annual conference - Volume 1
Modeling and Animating Realistic Faces from Images
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An example-based approach for facial expression cloning
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Learning controls for blend shape based realistic facial animation
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Flexible automatic motion blending with registration curves
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Unsupervised learning for speech motion editing
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
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Matchmaker: constructing constrained texture maps
ACM SIGGRAPH 2003 Papers
Universal capture: image-based facial animation for "The Matrix Reloaded"
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Deformation transfer for triangle meshes
ACM SIGGRAPH 2004 Papers
Spacetime faces: high resolution capture for modeling and animation
ACM SIGGRAPH 2004 Papers
Mood swings: expressive speech animation
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Animating blendshape faces by cross-mapping motion capture data
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
Facial performance capture and expressive translation for King Kong
ACM SIGGRAPH 2006 Sketches
Performance-driven facial animation
ACM SIGGRAPH 2006 Courses
Multi-scale capture of facial geometry and motion
ACM SIGGRAPH 2007 papers
Facial performance synthesis using deformation-driven polynomial displacement maps
ACM SIGGRAPH Asia 2008 papers
Orthogonal-Blendshape-Based Editing System for Facial Motion Capture Data
IEEE Computer Graphics and Applications
Face/Off: live facial puppetry
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Style learning and transferring for facial animation editing
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Face poser: Interactive modeling of 3D facial expressions using facial priors
ACM Transactions on Graphics (TOG)
Global correspondence optimization for non-rigid registration of depth scans
SGP '08 Proceedings of the Symposium on Geometry Processing
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Direct Manipulation Blendshapes
IEEE Computer Graphics and Applications
High-quality passive facial performance capture using anchor frames
ACM SIGGRAPH 2011 papers
Artist friendly facial animation retargeting
Proceedings of the 2011 SIGGRAPH Asia Conference
High fidelity facial animation capture and retargeting with contours
Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Augmenting physical avatars using projector-based illumination
ACM Transactions on Graphics (TOG)
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The goal of a practical facial animation retargeting system is to reproduce the character of a source animation on a target face while providing room for additional creative control by the animator. This article presents a novel spacetime facial animation retargeting method for blendshape face models. Our approach starts from the basic principle that the source and target movements should be similar. By interpreting movement as the derivative of position with time, and adding suitable boundary conditions, we formulate the retargeting problem as a Poisson equation. Specified (e.g., neutral) expressions at the beginning and end of the animation as well as any user-specified constraints in the middle of the animation serve as boundary conditions. In addition, a model-specific prior is constructed to represent the plausible expression space of the target face during retargeting. A Bayesian formulation is then employed to produce target animation that is consistent with the source movements while satisfying the prior constraints. Since the preservation of temporal derivatives is the primary goal of the optimization, the retargeted motion preserves the rhythm and character of the source movement and is free of temporal jitter. More importantly, our approach provides spacetime editing for the popular blendshape representation of facial models, exhibiting smooth and controlled propagation of user edits across surrounding frames.