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| Content Provider | ACM Digital Library |
|---|---|
| Author | Jang, Hanyoung Hany, JungHyun |
| Abstract | This paper presents a new image-space algorithm for real-time collision detection, where the GPU computes the potentially colliding sets (PCSs), and the CPU performs the standard triangle/triangle intersection test. When the bounding boxes of two objects intersect, the intersection is passed to the GPU. By rendering the objects in the intersection region, the GPU saves the object surfaces in A-buffer about 8 times faster than the ordinary approaches. As surfaces are rendered, their depth values are stored in textures. If the depth disparity between two surfaces is small enough, a PCS is obtained, which consists of two triangle, with a triangle from an object. The PCSs are read back to the CPU, and the CPU computes the intersection points between triangles. The proposed algorithm overcomes a variety of weaknesses which are revealed in the existing collision detection techniques: it does not require any preprocessing, it can handle dynamic models including deformable and fracturing meshes, it can compute self-collisions, etc. Its performance proves its usefulness in real-time applications such as 3D games. |
| Starting Page | 1 |
| Ending Page | 1 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781595939838 |
| DOI | 10.1145/1342250.1357024 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-02-15 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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