Abstract | ||
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We take a look at the problem of deciding whether two convex shapes intersect or not. We do so through the well known lens of Minkowski sums and with a bias towards applications in computer graphics and robotics. We describe a new technique that works explicitly on the unit sphere, interpreted as the sphere of directions. In extensive benchmarks against various well-known techniques, ours is found to be slightly more efficient, much more robust and comparatively easy to implement. In particular, our technique is compared favorably to the ubiquitous algorithm of Gilbert, Johnson and Keerthi (GJK), and its decision variant by Gilbert and Foo. We provide an in-depth geometrical understanding of the differences between GJK and our technique and conclude that our technique is probably a good drop-in replacement when one is not interested in the actual distance between two non-intersecting shapes. |
Year | DOI | Venue |
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2017 | 10.1016/j.cad.2017.05.009 | Computer-Aided Design |
Keywords | Field | DocType |
Intersection detection,GJK,Numerical robustness,Collision detection,Minkowski sum,Gauss map | Gilbert–Johnson–Keerthi distance algorithm,Mathematical optimization,Collision detection,Minkowski space,Regular polygon,Computer graphics,Gauss map,Minkowski addition,Mathematics,Unit sphere | Journal |
Volume | ISSN | Citations |
90 | 0010-4485 | 0 |
PageRank | References | Authors |
0.34 | 11 | 1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Samuel Hornus | 1 | 166 | 12.52 |