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A sampling strategy based on B-wavelets decomposition

Pagani, Luca and Scott, Paul J. (2016) A sampling strategy based on B-wavelets decomposition. Procedia CIRP, 43. pp. 29-34. ISSN 2212-8271

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Finding optimal sampling strategy is a central problem in surface reconstruction. In this paper a sampling strategy on different scales of a free-form surface is proposed. Non-Uniform Rational B-spline (NURBS) surfaces are used to represent the nominal shape; the decomposition is performed through the orthogonal B-wavelet basis. A sampling based on each level of the shape decomposition is then proposed to detect the points of interest that reflect the variations between different levels. The number of the samples is selected according to the complexity of the shape, which is represented by the number of the internal knots.

Item Type: Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Centre for Precision Technologies > EPSRC Centre for Innovative Manufacturing in Advanced Metrology
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Depositing User: Luca Pagani
Date Deposited: 03 Nov 2016 16:20
Last Modified: 28 Aug 2021 16:40


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