Continuous Collision Detection for Virtual Environments: A Walkthrough of Techniques
Continuous Collision Detection (CCD) has been widely accepted as the common tool to detect collision between dynamic collisions of rigid and deformable models, especially for use as an accurate collision method. Performing a computationally intensive technique for detecting between two configur...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
2011
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/3956/ http://eprints.utem.edu.my/3956/1/11-45-1-PB.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Continuous Collision Detection (CCD) has been
widely accepted as the common tool to detect collision
between dynamic collisions of rigid and deformable models,
especially for use as an accurate collision method.
Performing a computationally intensive technique for
detecting between two configurations that focuses on
accuracy always slows detection as compared to discrete
collision detection (DCD). CCD algorithms focus on the
motions toward objects regarding any interpolation as long
as it can be detected before it can penetrate the object. While
DCD requires backtracking after collision has been detected,
CCD does not suffer the same problems as DCD. CCD also
avoids the tunnelling problem that exists in DCD algorithms
where penetration always occurs to the object (missed the
collision). This paper will provide current and future
research of CCD algorithms, which eventually will become
the framework of our CCD algorithm technique for our
research. |
|---|