SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Large steps in cloth simulation
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
ArtDefo: accurate real time deformable objects
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Dynamic real-time deformations using space & time adaptive sampling
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Online Multiresolution Volumetric Mass Spring Model for Real Time Soft Tissue Deformation
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Non-linear anisotropic elasticity for real-time surgery simulation
Graphical Models - Special issue on SMI 2002
Haptics in Minimally Invasive Surgical Simulation and Training
IEEE Computer Graphics and Applications
Interactive deformation of soft tissues with haptic feedback for medical learning
IEEE Transactions on Information Technology in Biomedicine
An electromechanical based deformable model for soft tissue simulation
Artificial Intelligence in Medicine
Soft tissue deformation with reaction-diffusion process for surgery simulation
Journal of Visual Languages and Computing
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In this paper, a new methodology is presented to simulate deformation of soft objects by the reaction-diffusion analogy. The potential energy generated by an external force as a result of a deformation is propagated among mass points by the principle of reaction-diffusion. The novelty of the methodology is that the reaction-diffusion techniques are established to describe the potential energy of deformation and to extrapolate internal forces of a deformed object. An improved reaction-diffusion model is developed for the natural propagation of the energy generated by the external force. A method is presented to derive the internal forces from the potential energy distribution. The proposed methodology not only deals with large-range deformation, but also accommodates both isotropic and anisotropic materials by simply changing diffusion constants. Examples are presented to demonstrate the efficiency of the proposed methodology.