Title
Geometrically smooth spline bases for data fitting and simulation
Abstract
Given a topological complex M with glueing data along edges shared by adjacent faces, we study the associated space of geometrically smooth spline functions that satisfy differentiability properties across shared edges. We present new and efficient constructions of basis functions of the space of G1-spline functions on quadrangular meshes, which are tensor product b-spline functions on each quadrangle and with b-spline transition maps across the shared edges. This new strategy for constructing basis functions is based on a local analysis of the edge functions, and does not depend on the global topology of M. We show that the separability of the space of G1 splines across an edge allows to determine the dimension and a basis of the space of G1 splines on M. This leads to explicit and effective constructions of basis functions attached to the vertices, edges and faces of M.
Year
DOI
Venue
2020
10.1016/j.cagd.2020.101814
Computer Aided Geometric Design
Keywords
DocType
Volume
Geometric continuity,Isogeometric analysis,Fitting point cloud,Splines
Journal
78
ISSN
Citations 
PageRank 
0167-8396
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Ahmed Blidia100.34
Bernard Mourrain21074113.70
Gang Xu36510.70