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contributor authorChuan-Chu Kuo
contributor authorHong-Tzong Yau
contributor authorCorresponding author
date accessioned2017-05-09T00:09:43Z
date available2017-05-09T00:09:43Z
date copyrightMarch, 2003
date issued2003
identifier issn1530-9827
identifier otherJCISB6-25924#76_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/128081
description abstractIn the framework of Virtual CMM [1], 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.
publisherThe American Society of Mechanical Engineers (ASME)
titleReconstruction of Virtual Parts from Unorganized Scanned Data for Automated Dimensional Inspection
typeJournal Paper
journal volume3
journal issue1
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.1565354
journal fristpage76
journal lastpage86
identifier eissn1530-9827
keywordsPoles (Building)
keywordsAlgorithms AND Inspection
treeJournal of Computing and Information Science in Engineering:;2003:;volume( 003 ):;issue: 001
contenttypeFulltext


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