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Time-critical distributed contact for 6-DoF haptic rendering of adaptively sampled reduced deformable models
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Symposium on Computer Animation archive
Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation table of contents
San Diego, California
SESSION: Real-time simulation table of contents
Pages: 171 - 180  
Year of Publication: 2007
ISBN:978-1-59593-624-4
Authors
Jernej Barbič  Carnegie Mellon University, Pittsburgh, PA
Doug James  Cornell University, Ithaca, NY
Sponsors
Eurographics: Eurographics Association
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
Eurographics Association  Aire-la-Ville, Switzerland, Switzerland
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Downloads (6 Weeks): 4,   Downloads (12 Months): 77,   Citation Count: 1
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ABSTRACT

Real-time evaluation of distributed contact forces for rigid or deformable 3D objects is important for providing multi-sensory feedback in emerging real-time applications, such as 6-DoF haptic force-feedback rendering. Unfortunately, at very high temporal rates (1 kHz for haptics), there is often insufficient time to resolve distributed contact between geometrically complex objects.

In this paper, we present a spatially and temporally adaptive sample-based approach to approximate contact forces under hard real-time constraints. The approach is CPU based, and supports contact between a rigid and a reduced deformable model with complex geometry. Penalty-based contact forces are efficiently resolved using a multi-resolution point-based representation for one object, and a signed-distance field for the other. Hard realtime approximation of distributed contact forces uses multi-level progressive point-contact sampling, and exploits temporal coherence, graceful degradation and other optimizations. We present several examples of 6-DoF haptic rendering of geometrically complex rigid and deformable objects in distributed contact at real-time kilohertz rates.


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:
Jernej Barbič: colleagues
Doug James: colleagues