Dynamic real-time deformations using space & time adaptive sampling Export

@inproceedings{Debunne01, abstract = {This paper presents a robust, adaptive method for animating dynamic visco-elastic deformable objects that provides a guaranteed frame rate. Our approach uses a novel automatic space and time adaptive level of detail technique, in combination with a large-displacement (Green) strain tensor formulation. The body is partitioned in a non-nested multiresolution hierarchy of tetrahedral meshes. The local resolution is determined by a quality condition that indicates where and when the resolution is too coarse. As the object moves and deforms, the sampling is refined to concentrate the computational load into the regions that deform the most. Our model consists of a continuous differential equation that is solved using a local explicit finite element method. We demonstrate that our adaptive Green strain tensor formulation suppresses unwanted artifacts in the dynamic behavior, compared to adaptive mass-spring and other adaptive approaches. In particular, damped elastic vibration modes are shown to be nearly unchanged for several levels of refinement. Results are presented in the context of a virtual reality system. The user interacts in real-time with the dynamic object through the control of a rigid tool, attached to a haptic device driven with forces derived from the method.}, address = {New York, NY, USA}, author = {Debunne, Gilles and Desbrun, Mathieu and Cani, Marie-Paule and Barr, Alan H.}, booktitle = {SIGGRAPH '01: Proceedings of the 28th annual conference on Computer graphics and interactive techniques}, citeulike-article-id = {1690948}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=383262}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/383259.383262}, doi = {10.1145/383259.383262}, isbn = {158113374X}, keywords = {3d-imaging, adaptive, deformation, dynamics, force, mesh, modeling, multiresolution, simulation}, pages = {31--36}, posted-at = {2007-09-27 15:02:51}, priority = {2}, publisher = {ACM Press}, title = {Dynamic real-time deformations using space \& time adaptive sampling}, url = {http://dx.doi.org/10.1145/383259.383262}, year = {2001} }

TY - CONF ID - Debunne01 L3 - citeulike-article-id:1690948 N2 - This paper presents a robust, adaptive method for animating dynamic visco-elastic deformable objects that provides a guaranteed frame rate. Our approach uses a novel automatic space and time adaptive level of detail technique, in combination with a large-displacement (Green) strain tensor formulation. The body is partitioned in a non-nested multiresolution hierarchy of tetrahedral meshes. The local resolution is determined by a quality condition that indicates where and when the resolution is too coarse. As the object moves and deforms, the sampling is refined to concentrate the computational load into the regions that deform the most. Our model consists of a continuous differential equation that is solved using a local explicit finite element method. We demonstrate that our adaptive Green strain tensor formulation suppresses unwanted artifacts in the dynamic behavior, compared to adaptive mass-spring and other adaptive approaches. In particular, damped elastic vibration modes are shown to be nearly unchanged for several levels of refinement. Results are presented in the context of a virtual reality system. The user interacts in real-time with the dynamic object through the control of a rigid tool, attached to a haptic device driven with forces derived from the method. SN - 158113374X AD - New York, NY, USA EP - 36 TI - Dynamic real-time deformations using space & time adaptive sampling PB - ACM Press T2 - SIGGRAPH '01: Proceedings of the 28th annual conference on Computer graphics and interactive techniques SP - 31 KW - 3d-imaging KW - adaptive KW - deformation KW - dynamics KW - force KW - mesh KW - modeling KW - multiresolution KW - simulation AU - Debunne, Gilles AU - Desbrun, Mathieu AU - Cani, Marie-Paule AU - Barr, Alan PY - 2001/// UR - http://dx.doi.org/10.1145/383259.383262 ER -