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Surface Reconstruction from Imprecise 3D Points

Funk, Eugen and Börner, Anko (2013) Surface Reconstruction from Imprecise 3D Points. In: 3D Nord Ost. GFaI. 3D Nord Ost 2013, 3. Dez, Berlin, Deutschland.

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Abstract

In applying optical methods for automated 3D indoor modelling, the 3D reconstruction of objects and surfaces is very sensitive to both lighting conditions and the observed surface properties which ultimately compromises the utility of the acquired 3D point clouds. This works presents a statistical method for surface reconstruction applying robust statistics from the compressive sensing discipline. It is shown that 3D point clouds with outliers, strong noise and varying sampling density can be processed by the presented method without manual interaction. The resulting surface models are stored in implicit functional form and may be processed by common rendering algorithms such as marching cubes to deliver polygonal models of arbitrary resolution.

Item URL in elib:https://elib.dlr.de/92512/
Document Type:Conference or Workshop Item (Speech)
Title:Surface Reconstruction from Imprecise 3D Points
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Funk, EugenUNSPECIFIEDUNSPECIFIED
Börner, AnkoUNSPECIFIEDUNSPECIFIED
Date:3 December 2013
Journal or Publication Title:3D Nord Ost
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Publisher:GFaI
Status:Published
Keywords:3d modelling, surface reconstruction, sparsity inducing optimization
Event Title:3D Nord Ost 2013
Event Location:Berlin, Deutschland
Event Type:international Conference, Workshop
Event Dates:3. Dez
Organizer:GFaI
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Robotische Exploration (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Optical Sensor Systems > Information Processing for Optical Systems
Deposited By: Funk, Eugen
Deposited On:01 Dec 2014 07:33
Last Modified:01 Dec 2014 07:33

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