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		<citationkey>MaiaVidaCava:2006:EfApCo</citationkey>
		<author>Maia, José Gilvan Rodrigues,</author>
		<author>Vidal, Creto Augusto,</author>
		<author>Cavalcante-Neto, Joaquim Bento,</author>
		<affiliation>Universidade Federal do Ceará - UFC</affiliation>
		<title>Transformation Semantics: An Efficient Approach for Collision Detection</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)</conferencename>
		<year>2006</year>
		<editor>Oliveira Neto, Manuel Menezes de,</editor>
		<editor>Carceroni, Rodrigo Lima,</editor>
		<booktitle>Proceedings</booktitle>
		<date>8-11 Oct. 2006</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Manaus</conferencelocation>
		<keywords>Collision Detection, Polygonal Meshes.</keywords>
		<abstract>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.</abstract>
		<language>en</language>
		<tertiarytype>Full Paper</tertiarytype>
		<format>On-line</format>
		<size>840 KiB</size>
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		<e-mailaddress>gilvan@vdl.ufc.br</e-mailaddress>
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