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 nonunique 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. Eloe et al., "Dual Graph Partitioning for Bottom-Up BVH Construction," Proceedings: DMS 2014 - 20th International Conference on Distributed Multimedia Systems, pp. 151 - 159, KSI Research Inc., Jan 2014.
Department(s)
Computer Science
Keywords and Phrases
Axis Aligned Bounding Box; Bounding Volume Hierarchies; Dual Graph; Qualitative Spatial Reasoning
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 KSI Research Inc., All rights reserved.
Publication Date
01 Jan 2014