A Fast Parametric Deformation Mechanism for Virtual Reality Applications

• Main Authors: Tsung-Han Tu, 涂宗翰
• Other Authors: Tzong-Ming Cheng
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/j5642p

碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 94 === Virtual reality technologies have been adopted to a wide variety of applications for its realistic senses and interactions. Despite that most applications regard VR as an animation tool, a vivid presentation must be capable of delivering an instant and precise deformation on virtual objects. 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 physical-based interactions, and consequently facilitate the collaboration. Therefore, this research will employ neural networks to memorize the deformation behavior of a solid object, and perform instant plastic deformation in virtual environment. Moreover, the proposed methodology allows design variations on parametric features, and uses feature parameters as variable switches to control the deformation mechanism. The process includes the following steps: (1) For sample objects, generate force-activated deformations using finite element method; (2) For each sample, memorize the deformation displacements with neural networks; and (3) Encode the parametric deformation matrices into Behavioral Modules for the sample object and virtual reality engine. In the implementations, ANSYS is used to generate sample deformations, and MATLAB is used to train the neural nets. Finally, Virtools�� is used to perform virtual reality interactions where customized Building Blocks for deformations are coded in C++. The experiment is carried out on an Intel XEON workstation with nVIDIA Quadro4 750GL display device. Simple workparts are tested to examine the ability of the method.