Dual Graph Partitioning for Bottom-Up BVH Construction
Abstract
Bounding Volume Hierarchies (BVHs) are essential tools in performing collision detection on three-dimensional information. They reduce the number of expensive calculations required to determine whether or not two geometrical entities collide by using inexpensive calculations to rule out parts of the objects that could not possibly intersect. Quickly producing a high quality BVH is an important aspect of three-dimensional multimedia analysis. As such a powerful optimization, efficient and high quality BVHs are still an active area of research. Herein, the authors present a novel BVH representation that reduces the redundancy in the tree structure by allowing a node to contain an arbitrary number of children, as well as compressing non-unique nodes and combining their children. A new partitioning scheme using a graphical representation of the object is also presented to improve the quality of the generated BVH.
Recommended Citation
N. W. Eloe et al., "Dual Graph Partitioning for Bottom-Up BVH Construction," Journal of Visual Languages and Computing, vol. 25, no. 6, pp. 764 - 771, Elsevier, Jan 2014.
The definitive version is available at https://doi.org/10.1016/j.jvlc.2014.09.014
Department(s)
Computer Science
Keywords and Phrases
Axis aligned bounding box; Bounding volume hierarchie; Dual graph; Qualitative spatial reasoning
International Standard Serial Number (ISSN)
1045-926X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Elsevier, All rights reserved.
Publication Date
01 Jan 2014