Surfaces in computer aided geometric design: a survey with new results
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Lupaş type Bernstein operators on triangles based on quantum analogue
2021, Alexandria Engineering Journalh-Bernstein basis functions over a triangular domain
2020, Computer Aided Geometric DesignCitation Excerpt :A fundamental tool in Computer Aided Geometric Design (CAGD) to handle curves and surfaces is the Bernstein-Bézier technique (see e.g. Barnhill, 1985; Farin, 1986; Lai and Schumaker, 2007; Prautzsch et al., 2002), which is a geometrically intuitive and meaningful technique, leading to constructive numerically robust algorithms.
On numerical quadrature for C<sup>1</sup> quadratic Powell–Sabin 6-split macro-triangles
2019, Journal of Computational and Applied MathematicsBernstein-type operators on a triangle with all curved sides
2011, Applied Mathematics and ComputationCitation Excerpt :There were constructed operators of Lagrange, Hermite and Birkhoff type that interpolate a given function and certain of its derivatives on one, two or all sides of the triangle (see, e.g., [4–6,12–15,23,24,26]). In order to match all the boundary information on a curved domain (as in Dirichlet, Neumann or Robin boundary conditions for differential equation problems) there were considered interpolation operators on triangles with curved sides (one, two or all curved sides), many of them in connection with finite element method and computer aided geometric design (see, e.g., [2,3,7,8,16,17,20,24,25]). In some of these papers the triangle with curved sides is first transformed in a triangle with straight sides and then it is studied the corresponding interpolation problem (see, e.g., [24]).
Correcting non-linear lens distortion in cameras without using a model
2010, Optics and Laser TechnologyCitation Excerpt :According to [30,31], techniques for surface interpolation of scattered data include triangulation (or tetrahedrization)-based methods, inverse distance weighted methods, radial basis function methods, natural neighbour methods, as well as a data fitting method. Triangulation-based methods are local and, hence, capable of treating efficiently large data sets [32–36]. They are computationally simple (once the prerequisite task of triangulation or tetrahedrization has been accomplished) and relatively accurate.
CONSTRUCTION OF POLYNOMIAL PRESERVING COCHAIN EXTENSIONS BY BLENDING
2023, Mathematics of Computation