\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 4.12 - Classification

Yuri Boykov, Olga Veksler, and Ramin Zabih. Fast approximate energy minimization via graph cuts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23:2001, 2001.


ETH Zurich Random Forest Template Library. Stefan Walk (ETH Zurich, Department of Civil, Environmental and Geomatic Engineering, Institute of Geodesy and Photogrammetry), 2014.


Timo Hackel, Jan D Wegner, and Konrad Schindler. Fast semantic segmentation of 3d point clouds with strongly varying density. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Prague, Czech Republic, 3:177–184, 2016.


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.


Stan Z. Li. Markov Random Field Modeling in Image Analysis. Springer Publishing Company, Incorporated, 3rd edition, 2009.


Clément Mallet, Frédéric Bretar, Michel Roux, Uwe Soergel, and Christian Heipke. Relevance assessment of full-waveform lidar data for urban area classification. {ISPRS} Journal of Photogrammetry and Remote Sensing, 66(6, Supplement):S71 – S84, 2011. Advances in {LIDAR} Data Processing and Applications.