TR-IIS-03-005 PDF format
Enhancing Collision Detection Method Based on Enclosed Ellipsoid by Facial Areas Splitting
Wei-Kun Su , Jing-Sin Liu, I-Fan Chen
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Abstract
This paper is aimed at introducing a faster
collision detection algorithm for convex polyhedral in a three-dimensional
workspace. The problem of collision detection
has
been researched in the literature of computer graphics, robotics, computational
geometry, computer animation, and physically-based modeling. It has been
regarded as a computationally demanding task and is often treated as an advanced
feature. In this paper, we present a faster way to solve the collision detection
problem by using the enclosed ellipsoid method. Enclosed ellipsoid method gets
fewer collision error report than the standard bounding volume method, such as
boxes or spheres. We split ellipsoids into facial areas and ignore the areas
which are always the heavier computational load but impossible to be collided
with. There are some computer simulations showing how the facial split method
increases the efficiency of the detection in comparison with the original
enclosed ellipsoid method.