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Stefan Gottschalk
Researcher at University of North Carolina at Chapel Hill
Publications - 11
Citations - 3449
Stefan Gottschalk is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Collision detection & Minimum bounding box. The author has an hindex of 10, co-authored 11 publications receiving 3328 citations.
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Proceedings ArticleDOI
OBBTree: a hierarchical structure for rapid interference detection
TL;DR: A data structure and an algorithm for efficient and exact interference detection amongst complex models undergoing rigid motion that can robustly and accurately detect all the contacts between large complex geometries composed of hundreds of thousands of polygons at interactive rates are presented.
Proceedings ArticleDOI
Fast distance queries with rectangular swept sphere volumes
TL;DR: These algorithms have been used to perform proximity queries for applications including virtual prototyping, dynamic simulation, and motion planning on complex models and have achieved significant speedups on many benchmarks.
Proceedings ArticleDOI
V-COLLIDE: accelerated collision detection for VRML
TL;DR: It is demonstrated that it is possible to perform accurate collision detection at interactive rates in VRML environments composed of large numbers of complex moving objects.
Collision queries using oriented bounding boxes
TL;DR: This dissertation presents methods for building good trees of OBBs and demonstrates their use in efficient collision detection, and presents a new OBB overlap test which is more efficient than previously known methods.
Proceedings ArticleDOI
A demonstrated optical tracker with scalable work area for head-mounted display systems
TL;DR: An optoelectronic head-tracking system for head-mounted displays that was demonstrated at the ACM SIGGRAPH '91 conference and adopted an overdetermined mathematical model for the computation of head position: space resection by collinearity is described.