Název: A Multi-Scale Singularity Bounding Volume Hierarchy
Autoři: Somchaipeng, Kerawit
Erleben, Keeny
Sporring, Jan
Citace zdrojového dokumentu: WSCG '2005: Full Papers: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, p. 179-186.
Datum vydání: 2005
Nakladatel: UNION Agency
Typ dokumentu: conferenceObject
konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2005/Papers_2005/Full/!WSCG2005_Full_Proceedings_Final.pdf
http://hdl.handle.net/11025/10975
ISBN: 80-903100-7-9
Klíčová slova: detekce kolizí;Gaussův škálový prostor
Klíčová slova v dalším jazyce: collision detection;bounding volume hierarchy;Gaussian scale space
Abstrakt: A scale space approach is taken for building Bounding Volume Hierarchies (BVHs) for collision detection. A spherical bounding volume is generated at each node of the BVH using estimates of the mass distribution. Traditional top-down methods approximates the surface of an object in a coarse to fine manner, by recursively increasing resolution by some factor, e.g. 2. The method presented in this article analyzes the mass distribution of a solid object using a well founded scale-space based on the Diffusion Equation: the Gaussian Scale-Space. In the Gaussian scale-space, the deep structure of extremal mass points is naturally binary, and the linking process is therefore simple. The main contribution of this article is a novel approach for constructing BVHs using Multi-Scale Singularity Trees (MSSTs) for collision detection. The BVH-building algorithm extends the field with a new method based on volumetric shape rather than statistics of the surface geometry or geometrical constructs such as medial surfaces.
Práva: © UNION Agency
Vyskytuje se v kolekcích:WSCG '2005: Full Papers

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