Title
Point Cloud Collision Detection
Abstract
In the past few years, many efficient rendering and surface reconstruction algorithms for point clouds have been developed. However collision detection of point clouds has not been considered until now, although this is a prerequisite to use them for interactive or animated 3D graphics.We present a novel approach for time-critical collision detection of point clouds. Based solely on the point representation, it can detect intersections of the underlying implicit surfaces. The surfaces do not need to be closed. We construct a point hierarchy where each node stores a sufficient sample of the points plus a sphere covering of a part of the surface. These are used to derive criteria that guide our hierarchy traversal so as to increase convergence. One of them can be used to prune pairs of nodes, the other one is used to prioritize still to be visited pairs of nodes. At the leaves we efficiently determine an intersection by estimating the smallest distance.We have tested our implementation for several large point cloud models. The results show that a very fast and precise answer to collision detection queries can always be given.
Year
DOI
Venue
2004
10.1111/j.1467-8659.2004.00788.x
COMPUTER GRAPHICS FORUM
Keywords
Field
DocType
graphics,surface reconstruction,point cloud,3d graphics,collision detection
Convergence (routing),Surface reconstruction,3D computer graphics,Collision detection,Tree traversal,Computer science,Theoretical computer science,Rendering (computer graphics),Point cloud,Hierarchy
Journal
Volume
Issue
ISSN
23
3
0167-7055
Citations 
PageRank 
References 
25
1.08
18
Authors
2
Name
Order
Citations
PageRank
Jan Klein19510.94
Gabriel Zachmann263660.39