Consistent depth video segmentation using adaptive surface models
Cita com:
hdl:2117/28476
Tipus de documentArticle
Data publicació2014
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
ProjecteINTELLACT - Intelligent observation and execution of Actions and manipulations (EC-FP7-269959)
Abstract
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.
CitacióHusain, S.; Dellen, B.; Torras, C. Consistent depth video segmentation using adaptive surface models. "IEEE Transactions on Cybernetics", 2014, vol. 45, núm. 2, p. 266-278.
ISSN2168-2267
Versió de l'editorhttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824182
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1550-Consistent ... aptive-Surface-Models-.pdf | 13,38Mb | Visualitza/Obre |