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URN: urn:nbn:de:0030-drops-18620
URL: http://drops.dagstuhl.de/opus/volltexte/2009/1862/
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Trummer, Michael ; Denzler, Joachim

Evaluating Guided KLT Tracking for Next Best View Planning in 3D Reconstruction

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Abstract

This report considers the task of 3D reconstruction within a Next Best View (NBV) planning approach. Particular attention is given to the possibilities of extending the well-known Kanade-Lucas-Tomasi (KLT) tracker for the ap- plication within a controlled planning framework. The benefit of the trackerís extensions to the planning procedure is evaluated quantitatively.

BibTeX - Entry

@InProceedings{trummer_et_al:DSP:2009:1862,
  author =	{Michael Trummer and Joachim Denzler},
  title =	{Evaluating Guided KLT Tracking for Next Best View Planning in 3D Reconstruction},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  year =	{2009},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2009/1862},
  annote =	{Keywords: 3d reconstruction, KLT tracking, sensor planning, Next Best View},
}

Keywords: 3d reconstruction, KLT tracking, sensor planning, Next Best View
Seminar: 08422 - Klausurtagung Lehrstuhl Joachim Denzler
Issue Date: 2009
Date of publication: 29.01.2009


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