Paper
22 June 1999 Pattern-vector-based reduction of 3D meshes created from multimodal data sets
Christopher S. Gourley, Christophe Dumont, Mongi A. Abidi
Author Affiliations +
Abstract
Recent interest in photo-realistic 3D modeling has appeared in a variety of areas. These models are extremely useful in a realistic simulation environment. When viewing these large models, however, the frame-rate of even the fastest computers can be extremely low. Therefore, methods to lower the resolution of the model, and thus increase the frame- rate, while retaining the realism are desired. By using a multi-resolution model, low-resolution representations can be used while interacting with or moving the model, and the details from the higher resolution representation added when the model is stationary. To aid in the creation of such a model, we have developed a new triangle mesh reduction technique based on pattern vectors which creates a representation of a model. The reduction method presented here is based on the edge collapse/vertex split concept since this method lends itself easily to the multi- resolution mesh concept. The uniqueness of this reduction method, however, comes in the form of the data representation. We not only use the position of the vertices, but also other geometric properties such as normal and curvature. In addition, we have the advantage of having even more information about the mesh than just structural information.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher S. Gourley, Christophe Dumont, and Mongi A. Abidi "Pattern-vector-based reduction of 3D meshes created from multimodal data sets", Proc. SPIE 3696, Enabling Technology for Simulation Science III, (22 June 1999); https://doi.org/10.1117/12.351169
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Cited by 3 scholarly publications.
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KEYWORDS
Data modeling

3D modeling

Visualization

Computing systems

Virtual reality

RGB color model

Silicon

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