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A mesh reconstruction algorithm driven by an intrinsic property of a point cloud

✍ Scribed by Hong-Wei Lin; Chiew-Lan Tai; Guo-Jin Wang

Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 587 KB
Volume: 36
Category: Article
ISSN: 0010-4485
DOI: 10.1016/s0010-4485(03)00064-2

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✦ Synopsis

This paper presents an algorithm for reconstructing a triangle mesh surface from a given point cloud. Starting with a seed triangle, the algorithm grows a partially reconstructed triangle mesh by selecting a new point based on an intrinsic property of the point cloud, namely, the sampling uniformity degree. The reconstructed mesh is essentially an approximate minimum-weight triangulation to the point cloud constrained to be on a two-dimensional manifold. Thus, the reconstructed surface has only small topological difference from the surface of the sampled object. Topological correct reconstruction can be guaranteed by adding a post-processing step.

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