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https://hdl.handle.net/20.500.14279/4140| Τίτλος: | A Framework for Automatic Modeling from Point Cloud Data | Συγγραφείς: | Poullis, Charalambos | metadata.dc.contributor.other: | Πουλλής, Χαράλαμπος | Major Field of Science: | Engineering and Technology | Λέξεις-κλειδιά: | Segmentation;Clustering | Ημερομηνία Έκδοσης: | 2-Απρ-2014 | Πηγή: | IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, vol. 35, no. 11, pp. 2563-2575 | Volume: | 35 | Issue: | 11 | Start page: | 2563 | End page: | 2575 | Περιοδικό: | IEEE Transactions on Pattern Analysis and Machine Intelligence | Περίληψη: | 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: | https://hdl.handle.net/20.500.14279/4140 | ISSN: | 01628828 | DOI: | 10.1109/TPAMI.2013.64 | Rights: | © IEEE | Type: | Article | Affiliation: | Cyprus University of Technology |
| Εμφανίζεται στις συλλογές: | Άρθρα/Articles |
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