ACM eBooks· 2023· Book chapter
OBBTree: A Hierarchical Structure for Rapid Interference Detection
- 316citations
- 2023year
Short summary
OBBTree, a hierarchical data structure using tight-fitting oriented bounding boxes, enables rapid and exact detection of collisions between complex, moving polygonal models at interactive rates.
AI-generated from the title and abstract; the full text is not read.
Key points
- OBBTree uses tight-fitting oriented bounding boxes to create a hierarchical representation of polygonal models.
- Runtime interference detection involves traversing two OBBTrees and testing bounding box overlaps via a separating axis theorem.
- The algorithm achieves interactive rates for detecting contacts between complex geometries with hundreds of thousands of polygons.
- It provides exact and robust interference detection for models in rigid motion.
AI-generated from the title and abstract; the full text is not read.
Abstract
We present a data structure and an algorithm for efficient and exact interference detection amongst complex models undergoing rigid motion. The algorithm is applicable to all general polygonal models. It pre-computes a hierarchical representation of models using tight-fitting oriented bounding b ox trees (OBBTrees). At runtime, the algorithm traverses two such trees and tests for overlaps between oriented bounding boxes based on a separating axis theorem, which takes less than 200 operations in practice. It has been implemented and we compare its performance with other hierarchical data structures. In particular, it can robustly and accurately detect all the contacts between large complex geometries composed of hundreds of thousands of polygons at interactive rates.
The authors' abstract, as published at the source. ACM eBooks, 2023 · DOI ↗
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Field: Computer Graphics and Computer-Aided Design
Computer Graphics and Computer-Aided DesignComputer Science