EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Optimal Surface Fitting Of Point Clouds Using Local Refinement Application To Gis Data 1st Ed 2023 Gal Kermarrec

Name: Optimal Surface Fitting Of Point Clouds Using Local Refinement Application To Gis Data 1st Ed 2023 Gal Kermarrec
SKU: BELL-51578718
Price: 31.00 USD
Availability: InStock
Rating: 5 (70 reviews)

SKU: BELL-51578718

$ 31.00 ~~$ 45.00~~ (-31%)

5.0

70 reviews

Optimal Surface Fitting Of Point Clouds Using Local Refinement Application To Gis Data 1st Ed 2023 Gal Kermarrec instant download after payment.

Publisher: Springer

File Extension: PDF

File size: 3.41 MB

Pages: 130

Author: Gaël Kermarrec, Vibeke Skytt, Tor Dokken

ISBN: 9783031169533, 3031169530

Language: English

Year: 2022

Edition: 1st ed. 2023

Product desciption

Optimal Surface Fitting Of Point Clouds Using Local Refinement Application To Gis Data 1st Ed 2023 Gal Kermarrec by Gaël Kermarrec, Vibeke Skytt, Tor Dokken 9783031169533, 3031169530 instant download after payment.

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.