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Automatic reconstruction of wall features under clutter and occlusion


Michailidis, Georgios-Tsampikos; Pajarola, Renato (2015). Automatic reconstruction of wall features under clutter and occlusion. In: Computer Graphics International Short Papers, Strasbourg, France, 24 June 2015 - 26 June 2015, 1-4.

Abstract

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

In this paper, a new method to extract wall openings (windows and doors) in interior scenes from point clouds under cluttered and occluded environments is presented. For each wall surface or a room represented by a bounding polyhedron and its 3D scan points, our method constructs a planar cell complex representation, which is used for the wall features segmentation using a graph-cut method. We evaluate our 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:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Uncontrolled Keywords:graphics, architecture, indoor scene reconstruction, segmentation, point cloud, scanning
Language:English
Event End Date:26 June 2015
Deposited On:12 Aug 2016 07:26
Last Modified:12 Aug 2016 07:26
Publisher:Computer Graphics and Geometry Group of ICube Laboratory
Related URLs:http://www.ifi.uzh.ch/dam/jcr:ffffffff-d739-2b89-0000-0000444635a9/WallOpenings.pdf (Author)
Other Identification Number:merlin-id:12946
Permanent URL: https://doi.org/10.5167/uzh-125431

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