Stable haptic interaction based on adaptive hierarchical shape matching

Yuan Tian, Yin Yang, Xiaohu Guo, Balakrishnan Prabhakaran
2015 Computational Visual Media  
In this paper, we present a framework allowing users to interact with geometrically complex 3D deformable objects using (multiple) haptic devices based on an extended shape matching approach. There are two major challenges for haptic-enabled interaction using the shape matching method. The first is how to obtain a rapid deformation propagation when a large number of shape matching clusters exist. The second is how to robustly handle the collision response when the haptic interaction point hits
more » ... he particlesampled deformable volume. Our framework extends existing multi-resolution shape matching methods, providing an improved energy convergence rate. This is achieved by using adaptive integration strategies to avoid insignificant shape matching iterations during the simulation. Furthermore, we present a new mechanism called stable constraint particle coupling which ensures consistent deformable behavior during haptic interaction. As demonstrated in our experimental results, the proposed method provides natural and smooth haptic rendering as well as efficient yet stable deformable simulation of complex models in real time.
doi:10.1007/s41095-015-0023-3 fatcat:lwvgtri7jba7bhrlk6ug5mw7p4