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A Framework for Automatic Modeling from Point Cloud Data

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1 Author(s)
Poullis, C. ; Immersive & Creative Technol. Lab., Cyprus Univ. of Technol., Limassol, Cyprus

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.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:35 ,  Issue: 11 )