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Kinetic Collision Detection for Convex Fat Objects
Work
Year: 2007
Type: article
Abstract: We design compact and responsive kinetic data structures for detecting collisions between n convex fat objects in 3-dimensional space that can have arbitrary sizes. Our main results are:
Source: Algorithmica
Authors Mohammad Ali Abam, Mark de Berg, Sheung-Hung Poon, Bettina Speckmann
Institution Eindhoven University of Technology
Cites: 27
Cited by: 8
Related to: 10
FWCI:
Citation percentile (by year/subfield): 82.73
Topic: Computational Geometry and Mesh Generation
Subfield: Computer Graphics and Computer-Aided Design
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
APC paid (est): $2,890