Elasticity-based Clustering for Haptic Interaction with Heterogeneous Deformable Objects

Benoît Le Gouis 1 Maud Marchal 1 Anatole Lécuyer 1 Bruno Arnaldi 1
1 Hybrid - 3D interaction with virtual environments using body and mind
Inria Rennes – Bretagne Atlantique , IRISA_D6 - MEDIA ET INTERACTIONS
Abstract : Physically-based simulation of heterogeneous objects remains computationally-demanding for many applications, especially when involving haptic interaction with virtual environments. In this paper, we introduce a novel multiresolution approach for haptic interaction with heterogeneous deformable objects. Our method called "Elasticity-based Clustering" is based on the clustering and aggregation of elasticity inside an object, in order to create large homogeneous volumes preserving important features of the initial distribution. The design of such large and homogeneous volumes improves the attribution of elasticity to the elements of the coarser geometry. We could successfully implement and test our approach within a complete and real-time haptic interaction pipeline compatible with consumer-grade haptic devices. We evaluated the performance of our approach on a large set of elasticity configurations using a perception-based quality criterion. Our results show that for 90% of studied cases our method can achieve a 6 times speedup in the simulation time with no theoretical perceptual difference.
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Communication dans un congrès
VRIPHYS2017 - 13th Eurographics Workshop on Virtual Reality Interaction and Physical Simulation, Apr 2017, Lyon, France. pp.75-83, 2017
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Benoît Le Gouis, Maud Marchal, Anatole Lécuyer, Bruno Arnaldi. Elasticity-based Clustering for Haptic Interaction with Heterogeneous Deformable Objects. VRIPHYS2017 - 13th Eurographics Workshop on Virtual Reality Interaction and Physical Simulation, Apr 2017, Lyon, France. pp.75-83, 2017. 〈hal-01675148〉

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