CGAL 5.3 - Classification

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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.