FASTCD: Fracturing-Aware Stable Collision Detection
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a collision detection (CD) method for complex and large-scale fracturing models that have geometric and topological changes. We first propose a novel dual-cone culling method to improve the performance of CD, especially self-collision detection among fracturing models. Our dual-cone culling method has a small computational overhead and a conservative algorithm. Combined with bounding volume hierarchies (BVHs), our dual-cone culling method becomes approximate. However, we found that our method does not miss any collisions in the tested benchmarks. We also propose a novel, selective restructuring method that improves the overall performance of CD and reduces performance degradations at fracturing events. Our restructuring method is based on a culling efficiency metric that measures the expected number of overlap tests of a BVH. To further reduce the performance degradations at fracturing events, we also propose a novel, fast BVH construction method that builds multiple levels of the hierarchy in one iteration using a grid and hashing. We test our method with four different large-scale deforming benchmarks. Compared to the state-of-the-art methods, our method shows a more stable performance for CD by improving the performance by a factor of up to two orders of magnitude at frames when deforming models change their mesh topologies
Description
@inproceedings{:10.2312/SCA/SCA10/149-158,
booktitle = {Eurographics/ ACM SIGGRAPH Symposium on Computer Animation},
editor = {MZoran Popovic and Miguel Otaduy},
title = {{FASTCD: Fracturing-Aware Stable Collision Detection}},
author = {Heo, Jae-Pil and Seong, Joon-Kyung and Kim, DukSu and Otaduy, Miguel A. and Hong, Jeong-Mo and Tang, Min and Yoon, Sung-Eui},
year = {2010},
publisher = {The Eurographics Association},
ISSN = {1727-5288},
ISBN = {978-3-905674-27-9},
DOI = {/10.2312/SCA/SCA10/149-158}
}