Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compind.2006.05.003
Title: A 3D simplification algorithm for distributed visualization
Authors: Li, W.D.
Cai, Y.L.
Lu, W.F. 
Keywords: 3D streaming
Distributed design
Geometric simplification
VRML
Issue Date: Apr-2007
Source: Li, W.D., Cai, Y.L., Lu, W.F. (2007-04). A 3D simplification algorithm for distributed visualization. Computers in Industry 58 (3) : 211-226. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compind.2006.05.003
Abstract: One of the challenging problems that hinder the development of distributed design systems is the contradiction of large CAD files and the limited speed to share them over the Internet and Web. 3D streaming technique, which can allow effective and efficient dispatch and access of large-volume CAD data as a series of patched streams across the Internet, provides a promising solution to overcome the obstacle. Geometric simplification (or decimation) of 3D models is a key algorithm to realize the streaming technique. In this paper, a new geometric simplification algorithm has been developed, in which two criteria are the crucial elements to control the collapse process for edges in 3D VRML models to reduce the amount of information. After the simplification and sharing of a model, a developed refinement algorithm is carried out to restore the model from its simplified version back to its original, through combining the simplified model with some reconstruction data generated during the simplification process, therefore, to realize the streaming information sharing. The major feature of the simplification algorithm is that it has incorporated some advantages of the previously developed vertex decimation approach and edge collapse approach. Meanwhile, the mechanism of adaptive threshold parameters adopted in this work enhances the adaptability of the algorithm for various applications. Through case studies and comparisons with some related works, the algorithm shows good performance and potentials in terms of effectiveness, adaptability and robustness. © 2006 Elsevier B.V. All rights reserved.
Source Title: Computers in Industry
URI: http://scholarbank.nus.edu.sg/handle/10635/53888
ISSN: 01663615
DOI: 10.1016/j.compind.2006.05.003
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