A Sampling Strategy Based on B-wavelets Decomposition

Luca Pagani, Paul J. Scott

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)29-34
Number of pages6
JournalProcedia CIRP
Early online date9 May 2016
Publication statusPublished - 9 May 2016
Event14th CIRP Conference on Computer Aided Tolerancing - Gothenburg, Sweden
Duration: 18 May 201620 May 2016
Conference number: 14


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