Large steps in cloth simulation
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Interactive animation of ocean waves
Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation
Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation
IEEE Transactions on Visualization and Computer Graphics
Fast and Stable Animation of Cloth with an Approximated Implicit Method
CGI '00 Proceedings of the International Conference on Computer Graphics
A Simulation-based VR System for Interactive Hairstyling
VR '06 Proceedings of the IEEE conference on Virtual Reality
ACM SIGGRAPH 2006 Papers
Physics for Game Developers
Interactive Virtual Hair Salon
Presence: Teleoperators and Virtual Environments
A Survey on Hair Modeling: Styling, Simulation, and Rendering
IEEE Transactions on Visualization and Computer Graphics
A general model for soft body simulation in motion
Proceedings of the Winter Simulation Conference
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In soft body simulation with fluid modeling, smooth particle hydrodynamics (SPH) is one of the most efficient methods to simulate the soft body for real time applications. In this paper, we introduce a general model of soft bodies with SPH fluid modeling as one of the components for interaction among particles. The fluid force in SPH depends on the density of neighboring fluid particles in the kernel of the considered particle. The fluid force is related to fluid attributes such as fluid density, fluid pressure, and fluid viscosity. Computation becomes faster if the neighboring fluid particles are known during the computations of the fluid attributes. In our simulation of soft body model, the kernels of the fluid attributes are identical, and hence we use the same neighboring fluid particles to evaluate the fluid attributes. In this paper we introduce partitioning and hashing schemes to identify the neighboring fluid particles for SPH to compute the fluid force in the soft body simulation. The suitable parameters for the partitioning and hashing schemes are presented for the modeling. Experimental results show that the grid based scheme can reduce time computation in SPH for fluid modeling in real time applications. We also present a result of a soft body in which the model includes all forces.