Blar i SINTEF Digital på emneord "Approximation theory"
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LR B-splines to approximate bathymetry datasets: An improved statistical criterion to judge the goodness of fit
(Peer reviewed; Journal article, 2022)The task of representing remotely sensed scattered point clouds with mathematical surfaces is ubiquitous to reduce a high number of observations to a compact description with as few coefficients as possible. To reach that ... -
Optimal Surface Fitting of Point Clouds Using Local Refinement
(SpringerBriefs in Earth System Sciences;, Book, 2023)This open access book provides insights into the novel Locally Refined B-spline (LR B-spline) surface format, which is suited for representing terrain and seabed data in a compact way. It provides an alternative to the ... -
Scattered Data Approximation by LR B-Spline Surfaces: A Study on Refinement Strategies for Efficient Approximation
(Chapter, 2022)Locally refined B-spline (LRB) surfaces provide a representation that is well suited to scattered data approximation. When a data set has local details in some areas and is largely smooth elsewhere, LR B-splines allow the ... -
Surface approximation of coastal regions: LR B-spline for detection of deformation pattern
(Peer reviewed; Journal article, 2022)Geospatial data acquisition of terrains produces huge, noisy and scattered point clouds. An efficient use of the acquired data requires structured and compact data representations. Working directly in a point cloud is often ...