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Regularized 3d modeling from noisy building reconstructions

Holzmann, Thomas and Fraundorfer, Friedrich and Bischof, Horst (2016) Regularized 3d modeling from noisy building reconstructions. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, pp. 1-9. IEEE Xplore. International Conference on 3D Vision 2016, 25-28 October 2016, Stanford, USA.

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Official URL: http://3dv.stanford.edu/program.html#program_overview


In this paper, we present a method for regularizing noisy 3D reconstructions, which is especially well suited for scenes containing planar structures like buildings. At horizontal structures, the input model is divided into slices and for each slice, an inside/outside labeling is computed. With the outlines of each slice labeling, we create an irregularly shaped volumetric cell decomposition of the whole scene. Then, an optimized inside/outside labeling of these cells is computed by solving an energy minimization problem. For the cell labeling optimization we introduce a novel smoothness term, where lines in the images are used to improve the regularization result. We show that our approach can take arbitrary dense meshed point clouds as input and delivers well regularized building models, which can be textured afterwards.

Item URL in elib:https://elib.dlr.de/109258/
Document Type:Conference or Workshop Item (Poster)
Title:Regularized 3d modeling from noisy building reconstructions
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Holzmann, Thomasholzmann (at) icg.tu-graz.ac.atUNSPECIFIED
Fraundorfer, Friedrichfriedrich.fraundorfer (at) dlr.deUNSPECIFIED
Bischof, Horstbischof (at) icg.tu-graz.ac.atUNSPECIFIED
Date:December 2016
Journal or Publication Title:Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-9
Publisher:IEEE Xplore
Keywords:3D Modelling
Event Title:International Conference on 3D Vision 2016
Event Location:Stanford, USA
Event Type:international Conference
Event Dates:25-28 October 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:09 Dec 2016 14:37
Last Modified:31 Jul 2019 20:06

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