Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Muntingh, Georg"'
Autor:
Floater, Michael S., Muntingh, Georg
Mean value coordinates can be used to map one polygon into another, with application to computer graphics and curve and surface modelling. In this paper we show that if the polygons are quadrilaterals, and if the target quadrilateral is convex, then
Externí odkaz:
http://arxiv.org/abs/2407.00422
Autor:
Alcázar, Juan Gerardo, Muntingh, Georg
We introduce a characterization for affine equivalence of two surfaces of translation defined by either rational or meromorphic generators. In turn, this induces a similar characterization for minimal surfaces. In the rational case, our results provi
Externí odkaz:
http://arxiv.org/abs/2103.00151
Publikováno v:
Computer Aided Geometric Design, Volume 85, 2021
We propose a novel approach to image segmentation based on combining implicit spline representations with deep convolutional neural networks. This is done by predicting the control points of a bivariate spline function whose zero-set represents the s
Externí odkaz:
http://arxiv.org/abs/2102.12759
High quality video data is a core component in emerging remote tower operations as it inherently contains a huge amount of information on which an air traffic controller can base decisions. Various digital technologies also have the potential to expl
Externí odkaz:
http://arxiv.org/abs/1910.03517
Autor:
Lyche, Tom, Muntingh, Georg
For spaces of constant, linear, and quadratic splines of maximal smoothness on the Powell-Sabin 12-split of a triangle, the so-called S-bases were recently introduced. These are simplex spline bases with B-spline-like properties on the 12-split of a
Externí odkaz:
http://arxiv.org/abs/1901.06885
Autor:
Thøgersen Annett, Vines Lasse, Muntingh Georg, Prytz Øystein, von Wenckstern Holger, Jensen Ingvild Julie Thue
Publikováno v:
BIO Web of Conferences, Vol 129, p 24016 (2024)
Externí odkaz:
https://doaj.org/article/fe63a22b0b4d496ea86f52055b759289
In recent years, advances in machine learning algorithms, cheap computational resources, and the availability of big data have spurred the deep learning revolution in various application domains. In particular, supervised learning techniques in image
Externí odkaz:
http://arxiv.org/abs/1811.12693
Publikováno v:
Computer Aided Geometric Design 80 (2020) 101876
In applications like computer aided design, geometric models are often represented numerically as polynomial splines or NURBS, even when they originate from primitive geometry. For purposes such as redesign and isogeometric analysis, it is of interes
Externí odkaz:
http://arxiv.org/abs/1810.07451
Autor:
Alcázar, Juan Gerardo, Muntingh, Georg
Publikováno v:
In Journal of Computational and Applied Mathematics September 2022 411
We develop a characterization for the existence of symmetries of canal surfaces defined by a rational spine curve and rational radius function. In turn, this characterization inspires an algorithm for computing the symmetries of such canal surfaces.
Externí odkaz:
http://arxiv.org/abs/1611.06768