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Implicit scene modelling from imprecise point clouds

Funk, Eugen; Dooley, Laurence S. and Boerner, Anko (2013). Implicit scene modelling from imprecise point clouds. In: ISPRS 3D Indoor Modelling and Navigation Conference, 11-13 Dec 2013, Cape Town, South Africa.

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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 compromise the utility of the acquired 3D point clouds. This paper presents a robust scene reconstruction method which is predicated upon the observation that most objects contain only a small set of primitives. The approach combines sparse approximation techniques from the compressive sensing domain with surface rendering approaches from computer graphics. The amalgamation of these techniques allows a scene to be represented by a small set of geometric primitives and to generate perceptually appealing results. The resulting scene surface models are defined as implicit functions and may be processed using conventional rendering algorithms such as marching cubes, to deliver polygonal models of arbitrary resolution. It will also be shown that 3D point clouds with outliers, strong noise and varying sampling density can be reliably processed without manual intervention.

Item Type: Conference or Workshop Item
Copyright Holders: 2013 ISPRS
Keywords: implicit surface; general lasso; sparse approximation
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Research Group: Centre for Research in Computing (CRC)
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Item ID: 39064
Depositing User: Laurence Dooley
Date Deposited: 09 Dec 2013 09:09
Last Modified: 11 Sep 2018 08:04
URI: http://oro.open.ac.uk/id/eprint/39064
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