Optimal Surface Fitting of Point Clouds Using Local Refinement Book Reviews
Optimal Surface Fitting of Point Clouds Using Local Refinement by Gaël Kermarrec, Vibeke Skytt & Tor Dokken Book Summary
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.
Book Name | Optimal Surface Fitting of Point Clouds Using Local Refinement |
Genre | Geography |
Author | Gaël Kermarrec, Vibeke Skytt & Tor Dokken |
Published | 14 December 2022, Wednesday |
Language | English |
E-Book Size | 32.1 MB |
Optimal Surface Fitting of Point Clouds Using Local Refinement (Gaël Kermarrec, Vibeke Skytt & Tor Dokken) Book Reviews 2024
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Summary of Optimal Surface Fitting of Point Clouds Using Local Refinement by Gaël Kermarrec, Vibeke Skytt & Tor Dokken
The Optimal Surface Fitting of Point Clouds Using Local Refinement book written by Gaël Kermarrec, Vibeke Skytt & Tor Dokken was published on 14 December 2022, Wednesday in the Geography category. A total of 94 readers of the book gave the book 0 points out of 5.
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