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Erschienen in:
2003 | OriginalPaper | Buchkapitel
Surface Approximation to Point Cloud Data Using Volume Modeling
verfasst von : Adam Huang, Gregory M. Nielson
Erschienen in: Data Visualization
Verlag: Springer US
Enthalten in: Professional Book Archive
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Given a collection of unorganised points in space, we present a new method of constructing a surface which approximates this point cloud. The surface is defined implicitly as the isosurface of a trivariate volume model. The volume model is piecewise linear and obtained as a least squares fit to data derived from the point cloud. The original point cloud input is assigned a zero value. Additional points are derived for the interior and exterior and assigned positive and negative values respectively.