Title: | Detection of collisions and self-collisions using image-space techniques |
Authors: | Heidelberger, Bruno Teschner, Matthias Gross, Markus |
Citation: | Journal of WSCG. 2004, vol. 12, no. 1-3, p. 145-152. |
Issue Date: | 2004 |
Publisher: | UNION Agency |
Document type: | článek article |
URI: | http://wscg.zcu.cz/wscg2004/Papers_2004_Full/M89.pdf http://hdl.handle.net/11025/1728 |
ISSN: | 1213-6972 |
Keywords: | detekce kolizí;grafický hardware;animace |
Keywords in different language: | collision detection;graphic hardware;animation |
Abstract: | Image-space techniques have shown to be very efficient for collision detection in dynamic simulation and animation environments. This paper proposes a new image-space technique for efficient collision detection of arbitrarily shaped, water-tight objects. In contrast to existing approaches that do not consider self-collisions, our approach combines the image-space object representation with information on face orientation to overcome this limitation. While image-space techniques are commonly implemented on graphics hardware, software solutions have been neglected so far. In this paper, the performance of two GPU-based implementations and one CPU-based implementation of the proposed collision detection algorithm are compared. Results suggest, that graphics hardware accelerates collision detection in geometrically complex environments, while the CPU-based implementation provides more flexibility and better performance in case of small environments. |
Rights: | © UNION Agency |
Appears in Collections: | Volume 12, number 1-3 (2004) |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/1728
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