| Document Date: 2015-01-03 12:02:42
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City New York / CHVARTZMAN / / Company Comparison Triangles LC / GPU / Ford / Kitware Inc / Intel / / Country United States / / / Facility Chapel Hill †‡ Kitware Inc / Wiley Online Library / TCOLLISION ∗§ University of North Carolina / / IndustryTerm real time collision detection / collision-detection algorithms / multi-core processors / interactive graphics applications / simplest general algorithms / dot product / improved dynamic simulation algorithms / Energy-based self-collision culling / dynamic clustering algorithm / energy-based certificates / collision detection algorithm / prior algorithms / medical simulation systems / Online Library / simplest algorithms / car-crashing benchmarks / computing / cluster-computation algorithm / decomposition algorithm / / MarketIndex Car Crash / AVM Nidus / / NaturalFeature Chapel Hill / / Organization National Science Foundation / University of North Carolina / / Person Zheng / Min Tang / Clifton Park / James / Liang He∗ Ricardo Ortiz / Dinesh Manocha / / Position general / efficient and involves no precomputation / Director / National Institutes Of Health under Award Number R44OD018334 / representative / / Product Ford Explorer / Algorithm 1 / / ProgrammingLanguage C++ / / ProvinceOrState New York / New Mexico / South Carolina / North Carolina / / PublishedMedium ACM Transactions on Graphics / Computer Graphics / / Technology merging algorithm / RAM / improved dynamic simulation algorithms / 4.2 Intermediate Clusters The algorithm / Virtual Reality / prior CCD algorithms / improved CCD algorithms / CCD algorithm / dynamic clustering algorithm / using Algorithm / collision detection algorithm / CAD/CAM / simplest algorithms / 3D Graphics / cluster-computation algorithm / Fracturing / collision-detection algorithms / simulation / Animation / decomposition algorithm / Self-CCD algorithm / be easily checked by using a discrete collision detection algorithm / / URL http /
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Interactive Continuous Collision Detection for Topology Changing Models Using Dynamic Clustering Liang He∗ Ricardo Ortiz†