FASTCD: Fracturing-Aware Stable Collision Detection
dc.contributor.author | Heo, Jae-Pil | en_US |
dc.contributor.author | Seong, Joon-Kyung | en_US |
dc.contributor.author | Kim, DukSu | en_US |
dc.contributor.author | Otaduy, Miguel A. | en_US |
dc.contributor.author | Hong, Jeong-Mo | en_US |
dc.contributor.author | Tang, Min | en_US |
dc.contributor.author | Yoon, Sung-Eui | en_US |
dc.contributor.editor | MZoran Popovic and Miguel Otaduy | en_US |
dc.date.accessioned | 2014-01-29T07:51:28Z | |
dc.date.available | 2014-01-29T07:51:28Z | |
dc.date.issued | 2010 | en_US |
dc.description.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 | en_US |
dc.description.seriesinformation | Eurographics/ ACM SIGGRAPH Symposium on Computer Animation | en_US |
dc.identifier.isbn | 978-3-905674-27-9 | en_US |
dc.identifier.issn | 1727-5288 | en_US |
dc.identifier.uri | https://doi.org/10.2312/SCA/SCA10/149-158 | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.title | FASTCD: Fracturing-Aware Stable Collision Detection | en_US |
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