Segmentation of discrete point clouds using an extensible set of templates
Pierre-Alain Fayolle, Alexander Pasko
In The Visual Computer, 29(5), May 2013.
Abstract: We present an algorithm for segmenting a discrete three-dimensional point-set (i.e., partitioning an input discrete point-set into appropriate subsets). The algorithm consists in the iteration of two main steps which are: fitting the parameters of template primitives from a user-specified list of primitives and extracting the points from the input point-set matching the best fitted primitive. We illustrate the results of applying our algorithm to several examples of three-dimensional point-sets.
@article{Fayolle:2013:SOD,
author = {Pierre-Alain Fayolle and Alexander Pasko},
title = {Segmentation of discrete point clouds using an extensible set of templates},
journal = {The Visual Computer},
volume = {29},
number = {5},
pages = {449--465},
month = may,
year = {2013},
}
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