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Multi-weight enveloping: least-squares approximation techniques for skin animation
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Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation table of contents
San Antonio, Texas
SESSION: Skinning table of contents
Pages: 129 - 138  
Year of Publication: 2002
ISBN:1-58113-573-4
Authors
Xiaohuan Corina Wang  Industrial Light & Magic
Cary Phillips  Industrial Light & Magic
Sponsors
Eurographics: Eurographics
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 19,   Downloads (12 Months): 145,   Citation Count: 31
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ABSTRACT

We present a process called multi-weight enveloping for deforming the skin geometry of the body of a digital creature around its skeleton. It is based on a deformation equation whose coefficients we compute using a statistical fit to an input training exercise. In this input, the skeleton and the skin move together, by arbitrary external means, through a range of motion representative of what the creature is expected to achieve in practice. The input can also come from existing pieces of handcrafted skin animation. Using a modified least-squares fitting technique, we compute the coefficients, or "weights", of the deformation equation. The result is that the equation generalizes the skin movement so that it applies well to other sequences of animation. The multi-weight deformation equation is computationally efficient to evaluate; once the training process is complete, even creatures with high levels of geometric detail can move at interactive frames rates with a look that approximates that of anatomical, physically-based models. We demonstrate the technique in a feature film production environment, on a human model whose input poses are sculpted by hand and an animal model whose input poses come from the output of an anatomically-based dynamic simulation.


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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CITED BY  31

Collaborative Colleagues:
Xiaohuan Corina Wang: colleagues
Cary Phillips: colleagues