Reference TypeConference Proceedings
Citation KeyMaiaVidaCava:2006:EfApCo
Author1 Maia, José Gilvan Rodrigues
2 Vidal, Creto Augusto
3 Cavalcante-Neto, Joaquim Bento
Affiliation1 Universidade Federal do Ceará - UFC
TitleTransformation Semantics: An Efficient Approach for Collision Detection
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
Book TitleProceedings
Date8-11 Oct. 2006
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationManaus
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.
Tertiary TypeFull Paper
Size840 KiB
Number of Files1
Target Filegilvan-sibgrapi2006_final.pdf
Last Update2006: administrator
Metadata Last Update2020: administrator {D 2006}
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