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Reducing blendshape interference by selected motion attenuation
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Source Symposium on Interactive 3D Graphics archive
Proceedings of the 2005 symposium on Interactive 3D graphics and games table of contents
Washington, District of Columbia
SESSION: Animated models table of contents
Pages: 25 - 29  
Year of Publication: 2005
ISBN:1-59593-013-2
Authors
J. P. Lewis  University of Southern California
Jonathan Mooser  University of Southern California
Zhigang Deng  University of Southern California
Ulrich Neumann  University of Southern California
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 33,   Citation Count: 5
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ABSTRACT

Blendshapes (linear shape interpolation models) are perhaps the most commonly employed technique in facial animation practice. A major problem in creating blendshape animation is that of blendshape interference: the adjustment of a single blendshape "slider" may degrade the effects obtained with previous slider movements, because the blendshapes have overlapping, non-orthogonal effects. Because models used in commercial practice may have 100 or more individual blendshapes, the interference problem is the subject of considerable manual effort. Modelers iteratively resculpt models to reduce interference where possible, and animators must compensate for those interference effects that remain. In this short paper we consider the blendshape interference problem from a linear algebra point of view. We find that while full orthogonality is not desirable, the goal of preserving previous adjustments to the model can be effectively approached by allowing the user to temporarily designate a set of points as representative of the previous (desired) adjustments. We then simply solve for blendshape slider values that mimic desired new movement while moving these "tagged" points as little as possible. The resulting algorithm is easy to implement and demonstrably reduces cases of blendshape interference found in existing models.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
J. P. Lewis: colleagues
Jonathan Mooser: colleagues
Zhigang Deng: colleagues
Ulrich Neumann: colleagues