License: Creative Commons Attribution-NoDerivs 3.0 Unported license (CC BY-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.VLUDS.2011.123
URN: urn:nbn:de:0030-drops-37461
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2012/3746/
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Bender, Christoph ; Denker, Klaus ; Friedrich, Markus ; Hirt, Kai ; Umlauf, Georg

A Hand-held Laser Scanner based on Multi-camera Stereo-matching

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Abstract

Most laser scanners in engineering are extended versions of tactile measuring machines. These high precision devices are typically very expensive and hardware modifications are not possible without impairing the precision of the device.

For these reasons we built our own laser-scanner system. It is based on a multi-camera reconstruction system developed for fast 3D face reconstructions. Based on this camera system, we developed a laser-scanner using GPU accelerated stereo-matching techniques and a hand-held line-laser probe. The resulting reconstruction is solely based on the known camera positions and parameters. Thus, it is not necessary to track the position and movement of the line-laser probe. This yields an inexpensive laser-scanner system where every hardware component can be modified individually for experiments and future extensions of the system.

BibTeX - Entry

@InProceedings{bender_et_al:OASIcs:2012:3746,
  author =	{Christoph Bender and Klaus Denker and Markus Friedrich and Kai Hirt and Georg Umlauf},
  title =	{{A Hand-held Laser Scanner based on Multi-camera Stereo-matching}},
  booktitle =	{Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011},
  pages =	{123--133},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Christoph Garth and Ariane Middel and Hans Hagen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2012/3746},
  URN =		{urn:nbn:de:0030-drops-37461},
  doi =		{10.4230/OASIcs.VLUDS.2011.123},
  annote =	{Keywords: Laser scanner, 3D point clouds, stereo-matching, multi-camera}
}

Keywords: Laser scanner, 3D point clouds, stereo-matching, multi-camera
Collection: Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011
Issue Date: 2012
Date of publication: 16.10.2012

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