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Real-time Collision Detection for Virtual Surgery

Jean-Christophe Lombardo 1 Marie-Paule Cani 2, * Fabrice Neyret 2, *
* Corresponding author
1 EPIDAURE - Medical imaging and robotics
CRISAM - Inria Sophia Antipolis - Méditerranée
2 iMAGIS - Models, Algorithms and Geometry for Computer Generated Image Graphics
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes
Abstract : 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.
Keywords : Collision detection Virtual Reality Physically-based simulation Graphics hardware
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https://hal.inria.fr/inria-00537512
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Last modification on : Friday, June 26, 2020 - 4:04:03 PM
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Jean-Christophe Lombardo, Marie-Paule Cani, Fabrice Neyret. Real-time Collision Detection for Virtual Surgery. Computer Animation (CA'99), May 1999, Geneva, Switzerland. pp.82-90, ⟨10.1109/CA.1999.781201⟩. ⟨inria-00537512⟩

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