Paper
12 March 2013 Beta-function B-spline smoothing on triangulations
Lubomir T. Dechevsky, Peter Zanaty
Author Affiliations +
Proceedings Volume 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013; 865004 (2013) https://doi.org/10.1117/12.2007681
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
In this work we investigate a novel family of Ck-smooth rational basis functions on triangulations for fitting, smoothing, and denoising geometric data. The introduced basis function is closely related to a recently introduced general method introduced in utilizing generalized expo-rational B-splines, which provides Ck-smooth convex resolutions of unity on very general disjoint partitions and overlapping covers of multidimensional domains with complex geometry. One of the major advantages of this new triangular construction is its locality with respect to the star-1 neighborhood of the vertex on which the said base is providing Hermite interpolation. This locality of the basis functions can be in turn utilized in adaptive methods, where, for instance a local refinement of the underlying triangular mesh affects only the refined domain, whereas, in other method one needs to investigate what changes are occurring outside of the refined domain. Both the triangular and the general smooth constructions have the potential to become a new versatile tool of Computer Aided Geometric Design (CAGD), Finite and Boundary Element Analysis (FEA/BEA) and Iso-geometric Analysis (IGA).
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lubomir T. Dechevsky and Peter Zanaty "Beta-function B-spline smoothing on triangulations", Proc. SPIE 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013, 865004 (12 March 2013); https://doi.org/10.1117/12.2007681
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KEYWORDS
Denoising

Bismuth

Computer aided design

3D image processing

Current controlled current source

Electronic imaging

Error analysis

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