Time-Critical Collision Detection Using an Average-Case Approach

Time-Critical Collision Detection Using an Average-Case Approach (2003)

by Jan Klein , Gabriel Zachmann

Venue:	IN PROC. ACM SYMPOSIUM ON VIRTUAL REALITY SOFTWARE AND TECHNOLOGY (VRST 2003) (OSAKA
Citations:	6 - 2 self

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Datum	Value	Source
TITLE	Time-Critical Collision Detection Using an Average-Case Approach	user correction
AUTHOR NAME	Jan Klein	user correction
AUTHOR AFFIL	Heinz Nixdorf Institute and; Institute of Computer Science; University of Paderborn	user correction
AUTHOR ADDR	Germany	user correction
AUTHOR NAME	Gabriel Zachmann	user correction
AUTHOR AFFIL	Dept. of Computer Graphics and Virtual Reality; University of Bonn	user correction
AUTHOR ADDR	Germany	user correction
ABSTRACT	We present a novel, generic framework and algorithm for hierarchical collision detection, which allows an application to balance speed and quality of the collision detection. We pursue	user correction
YEAR	2003	INFERENCE
VENUE	IN PROC. ACM SYMPOSIUM ON VIRTUAL REALITY SOFTWARE AND TECHNOLOGY (VRST 2003) (OSAKA	user correction
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	22--31	INFERENCE
CITATIONS	31 found	ParsCit 1.0