License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.VLUDS.2010.45
URN: urn:nbn:de:0030-drops-30960
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2011/3096/
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Nöll, Tobias ; Pagani, Alain ; Stricker, Didier

Markerless Camera Pose Estimation - An Overview

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Abstract

As shown by the human perception, a correct interpretation of a 3D scene on the basis of a 2D image is possible without markers. Solely by identifying natural features of different objects, their locations and orientations on the image can be identified. This allows a three dimensional interpretation of a two dimensional pictured scene. The key aspect for this interpretation is the correct estimation of the camera pose, i.e. the knowledge of the orientation and location a picture was recorded. This paper is intended to provide an overview of the usual camera pose estimation pipeline as well as to present and discuss the several classes of pose estimation algorithms.

BibTeX - Entry

@InProceedings{nll_et_al:OASIcs:2011:3096,
  author =	{Tobias N{\"o}ll and Alain Pagani and Didier Stricker},
  title =	{{Markerless Camera Pose Estimation - An Overview}},
  booktitle =	{Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)},
  pages =	{45--54},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-29-3},
  ISSN =	{2190-6807},
  year =	{2011},
  volume =	{19},
  editor =	{Ariane Middel and Inga Scheler and Hans Hagen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2011/3096},
  URN =		{urn:nbn:de:0030-drops-30960},
  doi =		{10.4230/OASIcs.VLUDS.2010.45},
  annote =	{Keywords: Pose Estimation}
}

Keywords: Pose Estimation
Collection: Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop)
Issue Date: 2011
Date of publication: 13.04.2011

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