A Fluid-Based Soft-Object Model
IEEE Computer Graphics and Applications
Interactive Cloth Simulation in Virtual Environments
VR '03 Proceedings of the IEEE Virtual Reality 2003
Virtual Reality Used in a Collaborative Architectural Design Process
IV '00 Proceedings of the International Conference on Information Visualisation
A new approach to virtual design for spatial configuration problems
IV '03 Proceedings of the Seventh International Conference on Information Visualization
Real-Time Finite Element Modeling for Surgery Simulation: An Application to Virtual Suturing
IEEE Transactions on Visualization and Computer Graphics
Interactive learning of CG in networked virtual environments
Computers and Graphics
Virtual learning environment for medical education based on VRML and VTK
Computers and Graphics
Deformation resistance in soft tissue cutting: a parametric study
HAPTICS'04 Proceedings of the 12th international conference on Haptic interfaces for virtual environment and teleoperator systems
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Virtual reality technologies have been adopted in a wide variety of applications for its interactive ability and realistic senses. Despite early implementations regard VR only as a medium for lively animation; a practical VR work must deliver precise deformation on virtual objects based on real-time interactions. The exact ability is especially important for users who utilize VR to do collaborative design, for it will greatly reduce the amount of on-line computations on operating substance-based interactions, and consequently facilitates the collaboration. Therefore, this research will employ neural networks to memorize the deformation behavior of solid objects, and then perform instant and accurate deformations in the virtual environment. The proposed method also allows design variations for parametric features, and uses feature parameters as variable switches to adjust the deformation mechanism. There are three steps in the method: (1) For a sample object, generate force-induced deformations using the finite-element method; (2) memorize the surface displacements with artificial neural networks; and (3) convert the parametric deformation matrices into Behavioral Modules for the virtual reality engine. In the implementations, ANSYS is used to generate model deformations, and MATLAB is used to perform neural training. Finally, a virtual environment is built using Virtools where customized Building Blocks are created to present interactive deformation behavior. Experiments were carried out on an Intel XEON workstation with nVIDIA Quadro4 750GL display device. Sample workparts are tested to examine the ability of the method. The results show that both training accuracy and real-time capability are more than satisfactory.