In the framework of Virtual CMM , virtual parts are proposed to be constructed as triangulated surface models. This paper presents a novel surface reconstruction method to the creation of virtual parts. It is based on the idea of identification and sculpting of concave regions of a Delaunay triangulation of the sample data. The proposed algorithm is capable of handling the reconstruction of surfaces with or without boundaries from unorganized points. Comparisons with other Delaunay-based algorithms show that it is more efficient in that it can optimally adapt to the geometric complexity of the sampled object. To validate the proposed algorithm, some detailed illustrations are given.
Reconstruction of Virtual Parts from Unorganized Scanned Data for Automated Dimensional Inspection
Contributed by the Computer Aided Product Development (CAPD) Committee for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received October 2002; Revised February 2003. Guest Editor: C. H. Menq.
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Kuo, C., and Yau, H. (May 15, 2003). "Reconstruction of Virtual Parts from Unorganized Scanned Data for Automated Dimensional Inspection ." ASME. J. Comput. Inf. Sci. Eng. March 2003; 3(1): 76–86. https://doi.org/10.1115/1.1565354
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