Published May 26, 1999
| Version v1
Conference paper
Real-time Collision Detection for Virtual Surgery
Contributors
Others:
- Medical imaging and robotics (EPIDAURE) ; Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Models, Algorithms and Geometry for Computer Generated Image Graphics (iMAGIS) ; Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble (GRAVIR - IMAG) ; Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de l'Université Grenoble Alpes ; Institut National de Recherche en Informatique et en Automatique (Inria)
Description
We present a simple method for performing real-time collision detection in a virtual surgery environment. The method relies on the graphics hardware for testing the interpenetration between a virtual deformable organ and a rigid tool controlled by the user. The method enables to take into account the motion of the tool between two consecutive time steps. For our specic application, the new method runs about a hundred times faster than the well known orientedbounding- boxes tree method.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/inria-00537512
- URN
- urn:oai:HAL:inria-00537512v1
Origin repository
- Origin repository
- UNICA