Self-collision detection in tubular objects approximated by spheres

dc.coverage.spatial	Investigación aplicada
dc.creator	ENRIQUE AYALA FRANCO
dc.creator	FRANCISCO ALEJANDRO MADERA RAMIREZ
dc.creator	FRANCISCO JOSE MOO MENA
dc.date	2014-09-30
dc.date.accessioned	2018-10-04T15:08:07Z
dc.date.available	2018-10-04T15:08:07Z
dc.identifier	https://www.ijcsi.org/papers/IJCSI-11-5-1-14-21.pdf
dc.identifier.uri	http://redi.uady.mx:8080/handle/123456789/637
dc.description.abstract	We investigate the performance of an algorithm to detect selfcollisions in a tubular object approximated by spheres. The approach utilizes the Bounding Volume Hierarchy (BVH) to arrange the spheres and it was implemented using sequential and parallel algorithms. The tubular object has a snake-like motion, and the algorithm calculates the closer pairs of spheres considering the hierarchy and the parallelism. Experiments were carried out to analyze the performance of the implementations with different object’s motions.
dc.language	eng
dc.publisher	International Journal of Computer Science Issues
dc.relation	citation:0
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/4.0
dc.source	urn:issn:1694-0814
dc.subject	info:eu-repo/classification/cti/7
dc.subject	INGENIERÍA Y TECNOLOGÍA
dc.subject	info:eu-repo/classification/cti/33
dc.subject	Computer graphics
dc.subject	Collision detection
dc.subject	Bounding volume hierarchy
dc.title	Self-collision detection in tubular objects approximated by spheres
dc.type	info:eu-repo/semantics/article