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2010
IEEE

Point Cloud Skeletons via Laplacian Based Contraction

9 years 11 months ago
Point Cloud Skeletons via Laplacian Based Contraction
—We present an algorithm for curve skeleton extraction via Laplacian-based contraction. Our algorithm can be applied to surfaces with boundaries, polygon soups, and point clouds. We develop a contraction operation that is designed to work on generalized discrete geometry data, particularly point clouds, via local Delaunay triangulation and topological thinning. Our approach is robust to noise and can handle moderate amounts of missing data, allowing skeleton-based manipulation of point clouds without explicit surface reconstruction. By avoiding explicit reconstruction, we are able to perform skeleton-driven topology repair of acquired point clouds in the presence of large amounts of missing data. In such cases, automatic surface reconstruction schemes tend to produce incorrect surface topology. We show that the curve skeletons we extract provide an intuitive and easy-to-manipulate structure for effective topology modification, leading to more faithful surface reconstruction. Keyword...
Junjie Cao, Andrea Tagliasacchi, Matt Olson, Hao Z
Added 30 Jan 2011
Updated 30 Jan 2011
Type Journal
Year 2010
Where SMI
Authors Junjie Cao, Andrea Tagliasacchi, Matt Olson, Hao Zhang 0002, Zhinxun Su
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