A HIGHLY PARALLEL APPROACH TO MESHING SCATTERED POINT DATA
Refereed conference paper presented and published in conference proceedings


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摘要In this paper, we present a parallel mesh surface generation approach for unorganized point clouds that runs on the graphics processing unit (GPU) Our approach integrates point cloud simplification, point cloud optimization, and local triangulation techniques into the same framework The input point cloud will be processed through three steps of algorithms, which are 1) preprocessing to generate the neighborhood table of points and estimate the normal vectors, 2) clustering to group points into optimized clusters that minimize the shape approximation error, and 3) meshing to connect the seed points in clusters to form the resultant triangular mesh surface As the number of clusters can be specified by users, the number of vertices on resultant mesh surfaces is controlled The algorithms exploited here are highly parallelized to take advantage of the single-instruction-multiple-data (SIMD) parallelism that is available on consumer-level graphics hardware with GPU Moreover, to overcome memory limitation on graphics hardware the algorithms in all these steps are able to process massive data in streaming mode
著者Sheung H, Mok SP, Wang CCL
會議名稱ASME International Design Engineering Technical Conferences/Computers and Information in Engineering Conference
會議開始日30.08.2009
會議完結日02.09.2009
會議地點San Diego
會議國家/地區美國
出版年份2010
月份1
日期1
出版社AMER SOC MECHANICAL ENGINEERS
頁次559 - 569
國際標準書號978-0-7918-4899-9
語言英式英語
關鍵詞cloud point clustering; mesh generation; parallel algorithm; surface reconstruction point
Web of Science 學科類別Computer Science; Computer Science, Information Systems; Engineering; Engineering, Mechanical

上次更新時間 2021-25-01 於 00:01