Surface reconstruction based on lower dimensional localized Delaunay triangulation

M. Gopi, S. Krishnan, C. T. Silva

Research output: Contribution to journalConference article

Abstract

We present a fast, memory efficient algorithm that generates a manifold triangular mesh S passing through a set of unorganized points P ⊃ R3. Nothing is assumed about the geometry, topology or presence of boundaries in the data set except that P is sampled from a real manifold surface. The speed of our algorithm is derived from a projection-based approach we use to determine the incident faces on a point. We define our sampling criteria to sample the surface and guarantee a topologically correct mesh after surface reconstruction for such a sampled surface. We also present a new algorithm to find the normal at a vertex, when the surface is sampled according our given criteria. We also present results of our surface reconstruction using our algorithm on unorganized point clouds of various models.

Original languageEnglish (US)
Pages (from-to)C-467-C-478
JournalComputer Graphics Forum
Volume19
Issue number3
StatePublished - Aug 21 2000
Event21st Annual Conference (EUROGRAPHICS 2000) - Interlaken, Switz
Duration: Aug 21 2000Aug 25 2000

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ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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