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Bayesian graph-cut optimization for wall surfaces reconstruction in indoor environments


Michailidis, Georgios-Tsampikos; Pajarola, Renato (2017). Bayesian graph-cut optimization for wall surfaces reconstruction in indoor environments. Visual Computer, 33(10):1347-1355.

Abstract

In this paper, a new method capable to extract the wall openings (windows and doors) of interior scenes from point clouds under cluttered and occluded environments is presented. For each wall surface extracted by the polyhedral model of a room, our method constructs a cell complex representation, which is used for the wall object segmentation using a graph cut method. We evaluate the results of the proposed approach on real-world 3D scans of indoor environments and demonstrate its validity.

Abstract

In this paper, a new method capable to extract the wall openings (windows and doors) of interior scenes from point clouds under cluttered and occluded environments is presented. For each wall surface extracted by the polyhedral model of a room, our method constructs a cell complex representation, which is used for the wall object segmentation using a graph cut method. We evaluate the results of the proposed approach on real-world 3D scans of indoor environments and demonstrate its validity.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Uncontrolled Keywords:graphics, architecture, scene reconstruction, point cloud processing, laser scanning, wall openings detection
Language:English
Date:2017
Deposited On:12 Aug 2016 06:29
Last Modified:11 Sep 2017 07:25
Publisher:Springer
ISSN:0178-2789
Additional Information:The final publication is available at Springer via http://dx.doi.org/10.1007/s00371-016-1230-3
Publisher DOI:https://doi.org/10.1007/s00371-016-1230-3
Other Identification Number:merlin-id:13588

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