2013
DOI: 10.5194/isprsarchives-xl-4-w4-7-2013
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Implicit Surface Modeling from Imprecise Point Clouds

Abstract: 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 do… Show more

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Cited by 3 publications
(2 citation statements)
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References 20 publications
(24 reference statements)
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“…They proposed a surface reconstruction technique for buildings by processing data from a 3D laser scanner. Funk et al (2013) presented a paper on implicit scene modeling from imprecise point clouds. The authors stated that when applying optical methods for automated 3D indoor modeling, the 3D reconstruction of objects and surfaces is very sensitive to both lighting conditions and the observed surface properties.…”
Section: Indoor Navigationmentioning
confidence: 99%
“…They proposed a surface reconstruction technique for buildings by processing data from a 3D laser scanner. Funk et al (2013) presented a paper on implicit scene modeling from imprecise point clouds. The authors stated that when applying optical methods for automated 3D indoor modeling, the 3D reconstruction of objects and surfaces is very sensitive to both lighting conditions and the observed surface properties.…”
Section: Indoor Navigationmentioning
confidence: 99%
“…They proposed a surface reconstruction technique for buildings by processing data from a 3D laser scanner. [Funk et al, 2013] presented a paper on implicit scene modelling from imprecise point clouds. The authors stated that when applying optical methods for automated 3D indoor modelling, the 3D reconstruction of objects and surfaces are very sensitive to both lighting conditions and the observed surface properties.…”
Section: Indoor Navigationmentioning
confidence: 99%