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Spline joints for multibody dynamics
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ACM Transactions on Graphics (TOG) archive
Volume 27 ,  Issue 3  (August 2008) table of contents
Proceedings of ACM SIGGRAPH 2008
SESSION: Noisy collisions table of contents
Article No. 22  
Year of Publication: 2008
ISSN:0730-0301
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Authors
Sung-Hee Lee  University of California, Los Angeles
Demetri Terzopoulos  University of California, Los Angeles
Publisher
ACM  New York, NY, USA
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ABSTRACT

Spline joints are a novel class of joints that can model general scleronomic constraints for multibody dynamics based on the minimal-coordinates formulation. The main idea is to introduce spline curves and surfaces in the modeling of joints: We model 1-DOF joints using splines on SE(3), and construct multi-DOF joints as the product of exponentials of splines in Euclidean space. We present efficient recursive algorithms to compute the derivatives of the spline joint, as well as geometric algorithms to determine optimal parameters in order to achieve the desired joint motion. Our spline joints can be used to create interesting new simulated mechanisms for computer animation and they can more accurately model complex biomechanical joints such as the knee and shoulder.


REFERENCES

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Gabriel, S., and Kajiya, J. 1985. Spline interpolation in curved space. In SIGGRAPH 85 Course Notes for "State of the Art in Image Synthesis".
 
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Kapandji, I. 1974. The Physiology of the Joints. Churchill Livingstone, Edinburgh.
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Tändl, M., and Kecskeméthy, A. 2007. A comparison of B-spline curves and Pythagorean hodograph curves for multibody dynamics simulation. Proceedings of Twelfth World Congress in Mechanism and Machine Science (June), 380--387.
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Collaborative Colleagues:
Sung-Hee Lee: colleagues
Demetri Terzopoulos: colleagues