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EigenSkin: real time large deformation character skinning in hardware
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Source Symposium on Computer Animation archive
Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation table of contents
San Antonio, Texas
SESSION: Skinning table of contents
Pages: 153 - 159  
Year of Publication: 2002
ISBN:1-58113-573-4
Authors
Paul G. Kry  University of British Columbia
Doug L. James  University of British Columbia
Dinesh K. Pai  University of British Columbia
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): 12,   Downloads (12 Months): 83,   Citation Count: 42
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ABSTRACT

We present a technique which allows subtle nonlinear quasi-static deformations of articulated characters to be compactly approximated by data-dependent eigenbases which are optimized for real time rendering on commodity graphics hardware. The method extends the common Skeletal-Subspace Deformation (SSD) technique to provide efficient approximations of the complex deformation behaviours exhibited in simulated, measured, and artist-drawn characters. Instead of storing displacements for key poses (which may be numerous), we precompute principal components of the deformation influences for individual kinematic joints, and so construct error-optimal eigenbases describing each joint's deformation subspace. Pose-dependent deformations are then expressed in terms of these reduced eigenbases, allowing precomputed coefficients of the eigenbasis to be interpolated at run time. Vertex program hardware can then efficiently render nonlinear skin deformations using a small number of eigendisplacements stored in graphics hardware. We refer to the final resulting character skinning construct as the model's EigenSkin. Animation results are presented for a very large nonlinear finite element model of a human hand rendered in real time at minimal cost to the main CPU.


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  42

Collaborative Colleagues:
Paul G. Kry: colleagues
Doug L. James: colleagues
Dinesh K. Pai: colleagues