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Ordered Statistics Vertex Extraction and Tracing Algorithm (OSVETA)VASIC, B.
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3D shape, curvature estimation, discrete geometry, mesh optimization, vertex extraction
graphics(10), simplification(6), siggraph(6), techniques(5), interactive(5), geometry(5), surfaces(4), surface(4), polygonal(4), mesh(4)
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About this article
Date of Publication: 2012-11-30
Volume 12, Issue 4, Year 2012, On page(s): 25 - 32
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.04004
Web of Science Accession Number: 000312128400004
SCOPUS ID: 84872815537
We propose an algorithm for identifying vertices from three dimensional (3D) meshes that are most important for a geometric shape creation. Extracting such a set of vertices from a 3D mesh is important in applications such as digital watermarking, but also as a component of optimization and triangulation. In the first step, the Ordered Statistics Vertex Extraction and Tracing Algorithm (OSVETA) estimates precisely the local curvature, and most important topological features of mesh geometry. Using the vertex geometric importance ranking, the algorithm traces and extracts a vector of vertices, ordered by decreasing index of importance.
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