Name
Abstract | ||
|---|---|---|
A process of determining whether two or more bodies are making contact at one or more points is called collision detection or intersection detection. Collision detection is inseparable part of the computer graphics, surgical simulations, and robotics. There are varieties of methods for collision detection. We will review some of the most common ones. Algorithms for contact determination can be grouped into two general parts: broad-phase and narrow-phase. This paper provides a comprehensive classification of a collision detection literature into the two phases. Moreover, we have attempted to explain some of the existing algorithms which are not easy to interpret. Also, we have tried to keep sections self-explanatory without sacrificing depth of coverage. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICSMC.2007.4414258 | Montreal, QC, Canada |
Keywords | Field | DocType |
computer graphic,surgery,testing,computer graphics,computational modeling,argon,phase detection,facial animation,collision detection | Object detection,Computer vision,Collision detection,Object-class detection,Computer science,Computer facial animation,Artificial intelligence,Computer graphics,Robotics | Conference |
ISSN | ISBN | Citations |
1062-922X | 978-1-4244-0991-4 | 35 |
PageRank | References | Authors |
1.81 | 26 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sinan Kockara | 1 | 107 | 11.25 |
| Tansel Halic | 2 | 82 | 13.71 |
| Kamran Iqbal | 3 | 55 | 14.96 |
| Coşkun Bayrak | 4 | 197 | 26.47 |