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Conference Paper: Efficient collision detection using a dual bounding volume hierarchy

TitleEfficient collision detection using a dual bounding volume hierarchy
Authors
KeywordsBounding Volume Hierarchy
Collision Detection
OBB
Sphere
Issue Date2008
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 5th International Conference on Geometric Modeling and Processing (GMP 2008), Hangzhou, China, 23-25 April 2008. In Lecture Notes In Computer Science, 2008, v. 4975, p. 143-154 How to Cite?
AbstractWe perform collision detection between static rigid objects using a bounding volume hierarchy which consists of an oriented bounding box (OBB) tree enhanced with bounding spheres. This approach combines the compactness of OBBs and the simplicity of spheres. The majority of distant objects are separated using the simpler sphere tests. The remaining objects are in close proximity, where some separation axes are significantly more effective than others. We select 5 from among the 15 potential separating axes for OBBs. Experimental results show that our algorithm achieved favorable speed up with respect to the existing OBB algorithms. © 2008 Springer-Verlag Berlin Heidelberg.
DescriptionLNCS v. 4975 entitled: » Advances in Geometric Modeling and Processing: 5th International Conference, GMP 2008, Hangzhou, China, April 23-25, 2008. Proceedings
Persistent Identifierhttp://hdl.handle.net/10722/151952
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorChang, JWen_US
dc.contributor.authorWang, Wen_US
dc.contributor.authorKim, MSen_US
dc.date.accessioned2012-06-26T06:31:26Z-
dc.date.available2012-06-26T06:31:26Z-
dc.date.issued2008en_US
dc.identifier.citationThe 5th International Conference on Geometric Modeling and Processing (GMP 2008), Hangzhou, China, 23-25 April 2008. In Lecture Notes In Computer Science, 2008, v. 4975, p. 143-154en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10722/151952-
dc.descriptionLNCS v. 4975 entitled: » Advances in Geometric Modeling and Processing: 5th International Conference, GMP 2008, Hangzhou, China, April 23-25, 2008. Proceedings-
dc.description.abstractWe perform collision detection between static rigid objects using a bounding volume hierarchy which consists of an oriented bounding box (OBB) tree enhanced with bounding spheres. This approach combines the compactness of OBBs and the simplicity of spheres. The majority of distant objects are separated using the simpler sphere tests. The remaining objects are in close proximity, where some separation axes are significantly more effective than others. We select 5 from among the 15 potential separating axes for OBBs. Experimental results show that our algorithm achieved favorable speed up with respect to the existing OBB algorithms. © 2008 Springer-Verlag Berlin Heidelberg.en_US
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.subjectBounding Volume Hierarchyen_US
dc.subjectCollision Detectionen_US
dc.subjectOBBen_US
dc.subjectSphereen_US
dc.titleEfficient collision detection using a dual bounding volume hierarchyen_US
dc.typeConference_Paperen_US
dc.identifier.emailWang, W: wenping@cs.hku.hken_US
dc.identifier.authorityWang, W=rp00186en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1007/978-3-540-79246-8-11en_US
dc.identifier.scopuseid_2-s2.0-70349311427en_US
dc.identifier.hkuros141124-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-70349311427&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume4975en_US
dc.identifier.spage143en_US
dc.identifier.epage154en_US
dc.publisher.placeGermanyen_US
dc.identifier.scopusauthoridChang, JW=35247700900en_US
dc.identifier.scopusauthoridWang, W=35147101600en_US
dc.identifier.scopusauthoridKim, MS=34975058900en_US
dc.customcontrol.immutablesml 160108 - merged-

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