A framework for automatic modeling from point cloud data.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 24051720.
- Also identified by DOI 10.1109/TPAMI.2013.64.
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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.
Medical subject headings
- Algorithms
- Artificial Intelligence
- Image Interpretation, Computer-Assisted
- Models, Theoretical
- Pattern Recognition, Automated