SIGGRAPH '87 Proceedings of the 14th 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
Animation of Deformable Models Using Implicit Surfaces
IEEE Transactions on Visualization and Computer Graphics
Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation
IEEE Transactions on Visualization and Computer Graphics
Parallel Scientific Computing in C++ and MPI
Parallel Scientific Computing in C++ and MPI
Non-linear anisotropic elasticity for real-time surgery simulation
Graphical Models - Special issue on SMI 2002
IEEE Transactions on Visualization and Computer Graphics
Haptics in Minimally Invasive Surgical Simulation and Training
IEEE Computer Graphics and Applications
Real-Time subspace integration for St. Venant-Kirchhoff deformable models
ACM SIGGRAPH 2005 Papers
Real-time deformable models for surgery simulation: a survey
Computer Methods and Programs in Biomedicine
Interactive deformation of soft tissues with haptic feedback for medical learning
IEEE Transactions on Information Technology in Biomedicine
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Soft tissue deformation is of great importance to virtual-reality-based-surgery simulation. This paper presents a new neural-dynamics-based methodology for simulation of soft tissue deformation from the perspective of energy propagation. A novel neural network is established to propagate the energy generated by an external force among mass points of a soft tissue. The stability of the proposed neural network system is proved by using the Lyapunov stability theory. A potential-based method is presented to derive the internal forces from the natural energy distribution established by the neural dynamics. Integration with a haptic device has been achieved for interactive deformation simulation with force feedback. The proposed methodology not only accommodates isotropic, anisotropic and inhomogeneous materials by simple modification of the control coefficients, but it also accepts large-range deformations.