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Normal Vector Estimation for Point Clouds via Local Delaunay Triangle Mesh Matching
University of Skövde.ORCID iD: 0000-0001-8679-8049
2013 (English)In: Computer-Aided Design and Applications, ISSN 1686-4360, Vol. 10, no 3, p. 399-411Article in journal (Refereed) Published
Abstract [en]

Reliable estimation of normal vectors for point clouds is of practical importance in computer-aided geometric modeling and inspection. This paper introduces a new normal vector estimation method for point clouds based on the matching results of the local Delaunay triangle mesh formed at each point. The local mesh is a manifold patch of Delaunay triangles and resembles an open umbrella. According to the matching results of these umbrellas, the local Delaunay neighbors at each point can be reliably identified, which leads to accurate normal vector calculations. Compared with the existing methods, the proposed method yields normal vectors of notably improved accuracy, especially for points near edge or corner features. The improvement has been demonstrated using both simulated and scanned point cloud data sets.

Place, publisher, year, edition, pages
2013. Vol. 10, no 3, p. 399-411
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-206443DOI: 10.3722/cadaps.2013.399-411Scopus ID: 2-s2.0-84872068735OAI: oai:DiVA.org:kth-206443DiVA, id: diva2:1092590
Note

QC 20170515

Available from: 2017-05-03 Created: 2017-05-03 Last updated: 2017-05-15Bibliographically approved

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Wang, Lihui

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