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Documents authored by Denker, Klaus

Document
DOI: 10.4230/OASIcs.VLUDS.2011.123
A Hand-held Laser Scanner based on Multi-camera Stereo-matching

Authors: Christoph Bender, Klaus Denker, Markus Friedrich, Kai Hirt, and Georg Umlauf

Published in: OASIcs, Volume 27, Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011

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.
Cite as

Christoph Bender, Klaus Denker, Markus Friedrich, Kai Hirt, and Georg Umlauf. A Hand-held Laser Scanner based on Multi-camera Stereo-matching. In Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering - Proceedings of IRTG 1131 Workshop 2011. Open Access Series in Informatics (OASIcs), Volume 27, pp. 123-133, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)

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@InProceedings{bender_et_al:OASIcs.VLUDS.2011.123,
  author =	{Bender, Christoph and Denker, Klaus and Friedrich, Markus and Hirt, Kai and Umlauf, Georg},
  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 =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-46-0},
  ISSN =	{2190-6807},
  year =	{2012},
  volume =	{27},
  editor =	{Garth, Christoph and Middel, Ariane and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2011.123},
  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}
}
Document
DOI: 10.4230/OASIcs.VLUDS.2010.20
Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm

Authors: Klaus Denker and Georg Umlauf

Published in: OASIcs, Volume 19, Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop) (2011)

Abstract
Stereo matching algorithms and multi camera reconstruction algorithms are usually compared using benchmarks. These benchmarks compare the quality of the resulting depth map or reconstructed surface mesh. We describe the differences between several known stereo and multi-view stereo benchmarks and their various datasets. Also the modifications that are necessary to use our own GPU based multi camera stereo matching algorithm with the data from these benchmarks are discussed.
Cite as

Klaus Denker and Georg Umlauf. Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 20-26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@InProceedings{denker_et_al:OASIcs.VLUDS.2010.20,
  author =	{Denker, Klaus and Umlauf, Georg},
  title =	{{Survey on Benchmarks for a GPU Based Multi Camera Stereo Matching Algorithm}},
  booktitle =	{Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
  pages =	{20--26},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-29-3},
  ISSN =	{2190-6807},
  year =	{2011},
  volume =	{19},
  editor =	{Middel, Ariane and Scheler, Inga and Hagen, Hans},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.VLUDS.2010.20},
  URN =		{urn:nbn:de:0030-drops-30934},
  doi =		{10.4230/OASIcs.VLUDS.2010.20},
  annote =	{Keywords: Stereo matching, Multi camera, GPU}
}
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