Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2006: administrator
Metadata Last Update2020: administrator
Citation KeyMaiaVidaCava:2006:EfApCo
TitleTransformation Semantics: An Efficient Approach for Collision Detection
Date8-11 Oct. 2006
Access Date2021, Jan. 19
Number of Files1
Size840 KiB
Context area
Author1 Maia, José Gilvan Rodrigues
2 Vidal, Creto Augusto
3 Cavalcante-Neto, Joaquim Bento
Affiliation1 Universidade Federal do Ceará - UFC
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2008-07-17 14:11:04 :: gilvanmaia -> administrator ::
2009-08-13 20:38:13 :: administrator -> banon ::
2010-08-28 20:02:25 :: banon -> administrator ::
2020-02-19 03:17:47 :: administrator -> :: 2006
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsCollision Detection, Polygonal Meshes.
AbstractCollision 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.
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Target Filegilvan-sibgrapi2006_final.pdf
User Groupgilvanmaia
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