Segmentation of discrete point clouds using an extensible set of templates

This source preferred by Alexander Pasko

This data was imported from Scopus:

Authors: Fayolle, P.A. and Pasko, A.

Journal: Visual Computer

Volume: 29

Issue: 5

Pages: 449-465

ISSN: 0178-2789

DOI: 10.1007/s00371-012-0749-1

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 pointset matching the best fitted primitive. We illustrate the results of applying our algorithm to several examples of threedimensional point-sets.

The data on this page was last updated at 04:44 on September 23, 2017.