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Transformation Semantics: An Efficient Approach for Collision Detection
Manaus, AM, Brazil October 08-October 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2006.43XIX Brazilian Symposium on Computer G ...
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Jos? Gilvan Rodrigues Maia, Universidade Federal do Cear? (UFC), Brazil
Creto Augusto Vidal, Universidade Federal do Cear? (UFC), Brazil
Joaquim Bento Cavalcante-Neto, Universidade Federal do Cear? (UFC), Brazil
Collision detection is an important problem in many kinds of applications. This work presents an efficient approach for exact collision detection between complex, deformable models. The approach consists of a method for fast extraction of semantics from transformation matrices which places models in a scene, together with a general strategy for fast intersection tests. Non-uniform scaling is also supported efficiently. Our experiments demonstrate that our strategies are well suitable for real-time applications.
Citation:
Jos? Gilvan Rodrigues Maia, Creto Augusto Vidal, Joaquim Bento Cavalcante-Neto, "Transformation Semantics: An Efficient Approach for Collision Detection," sibgrapi, pp.94-104, XIX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'06), 2006
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