Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/3435
Title: A Framework for Automatic Modeling from Point Cloud Data
Authors: Poullis, Charalambos ItemCrisRefDisplayStrategy.rp.deleted.icon
Category: Computer Science, Engineering
Issue Date: 2-Apr-2014
Publisher: IEEE COMPUTER SOC
Source: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Volume: 35 Issue: 11 Pages: 2563-2575
Abstract: We propose a complete framework for the automatic modeling from point cloud data. Initially, the point cloud data are preprocessed into manageable datasets, which are then separated into clusters using a novel two-step, unsupervised clustering algorithm. The boundaries extracted for each cluster are then simplified and refined using a fast energy minimization process. Finally, three-dimensional models are generated based on the roof outlines. The proposed framework has been extensively tested, and the results are reported.
URI: http://ktisis.cut.ac.cy/handle/10488/3435
Other Identifiers: 0162-8828
DOI: 10.1109/TPAMI.2013.64
Type: Article
Appears in Collections:Άρθρα/Articles

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