Title
High Performance Gpu-Based Proximity Queries Using Distance Fields
Abstract
Proximity queries such as closest point computation and collision detection have many applications in computer graphics, including computer animation, physics-based modelling, augmented and virtual reality. We present efficient algorithms for proximity queries between a closed rigid object and an arbitrary, possibly deformable, polygonal mesh. Using graphics hardware to densely sample the distance field of the rigid object over the arbitrary mesh, we compute minimal proximity and collision response information on the graphics processing unit (GPU) using blending and depth buffering, as well as parallel reduction techniques, thus minimizing the readback bottleneck. Although limited to image-space resolution, our algorithm provides high and steady performance when compared with other similar algorithms. Proximity queries between arbitrary meshes with hundreds of thousands of triangles and detailed distance fields of rigid objects are computed in a few milliseconds at high-sampling resolution, even in situations with large overlap.
Year
DOI
Venue
2008
10.1111/j.1467-8659.2008.01183.x
COMPUTER GRAPHICS FORUM
Keywords
Field
DocType
proximity queries, collision detection, distance fields, GPU
Polygon mesh,Graphics hardware,Computer graphics (images),Computer science,Theoretical computer science,Distance transform,Artificial intelligence,Computer graphics,OpenGL,Computer vision,Collision detection,Graphics processing unit,Collision response
Journal
Volume
Issue
ISSN
27
8
0167-7055
Citations 
PageRank 
References 
10
0.64
31
Authors
3
Name
Order
Citations
PageRank
T. Morvan1100.64
M. Reimers2100.97
Eigil Samset3374.46