A Framework for Automatic Modeling from Point Cloud Data
Journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Date Issued
April 2, 2014
Author(s)
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.
Subjects
Affiliation