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Título: | Consistent depth video segmentation using adaptive surface models |
Autor: | Husain, Farzad CSIC; Dellen, Babette CSIC; Torras, Carme CSIC ORCID | Palabras clave: | Surface fitting Shape Motion Segmentation Range data |
Fecha de publicación: | 2015 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | IEEE Transactions on Cybernetics 45(2): 266-278 (2015) | Resumen: | We propose a new approach for the segmentation of 3-D point clouds into geometric surfaces using adaptive surface models. Starting from an initial configuration, the algorithm converges to a stable segmentation through a new iterative split-And-merge procedure, which includes an adaptive mechanism for the creation and removal of segments. This allows the segmentation to adjust to changing input data along the movie, leading to stable, temporally coherent, and traceable segments. We tested the method on a large variety of data acquired with different range imaging devices, including a structured-light sensor and a time-of-flight camera, and successfully segmented the videos into surface segments. We further demonstrated the feasibility of the approach using quantitative evaluations based on ground-truth data. | Versión del editor: | http://dx.doi.org/10.1109/TCYB.2014.2324815 | URI: | http://hdl.handle.net/10261/127498 | DOI: | 10.1109/TCYB.2014.2324815 | Identificadores: | doi: 10.1109/TCYB.2014.2324815 issn: 2168-2267 e-issn: 2168-2275 |
Aparece en las colecciones: | (IRII) Artículos |
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Fichero | Descripción | Tamaño | Formato | |
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Surface-Models-.pdf | 13,71 MB | Adobe PDF | Visualizar/Abrir |
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