\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 5.0.1 - Shape Detection
Bibliography
[1]

Florent Lafarge and Clement Mallet. Creating large-scale city models from 3D-point clouds: a robust approach with hybrid representation. International Journal of Computer Vision, 99(1):69–85, 2012.

[2]

Ruwen Schnabel, Roland Wahl, and Reinhard Klein. Efficient ransac for point-cloud shape detection. In Computer graphics forum, volume 26, pages 214–226. Wiley Online Library, 2007.

[3]

Yannick Verdie, Florent Lafarge, and Pierre Alliez. Lod generation for urban scenes. Technical report, Association for Computing Machinery, 2015.