Optimal Surface Fitting of Point Clouds Using Local Refinement

Application to GIS Data de

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Éditeur :

Springer


Collection :

SpringerBriefs in Earth System Sciences

Paru le : 2022-12-14

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Description
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 well know raster and triangulated surface representations. An LR B-spline surface has an overall smooth behavior and allows the modeling of local details with only a limited growth in data volume. In regions where many data points belong to the same smooth area, LR B-splines allow a very lean representation of the shape by locally adapting the resolution of the spline space to the size and local shape variations of the region. The iterative method can be modified to improve the accuracy in particular domains of a point cloud. The use of statistical information criterion can help determining the optimal threshold, the number of iterations to perform as well as some parameters of the underlying mathematical functions (degree of the splines, parameter representation). The resulting surfaces are well suited for analysis and computing secondary information such as contour curves and minimum and maximum points. Also deformation analysis are potential applications of fitting point clouds with LR B-splines.
Pages
111 pages
Collection
SpringerBriefs in Earth System Sciences
Parution
2022-12-14
Marque
Springer
EAN papier
9783031169533
EAN PDF
9783031169540

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
4055 Ko
Prix
0,00 €
EAN EPUB
9783031169540

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
32666 Ko
Prix
0,00 €