License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08422.7
URN: urn:nbn:de:0030-drops-18620
URL: http://dagstuhl.sunsite.rwth-aachen.de/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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08422.TrummerMichael.ExtAbstract.1862.pdf (0.07 MB)

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 tracker’s
extensions to the planning procedure is evaluated quantitatively.

BibTeX - Entry

@InProceedings{trummer_et_al:DagSemProc.08422.7,
  author =	{Trummer, Michael and Denzler, Joachim},
  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},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8422},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2009/1862},
  URN =		{urn:nbn:de:0030-drops-18620},
  doi =		{10.4230/DagSemProc.08422.7},
  annote =	{Keywords: 3d reconstruction, KLT tracking, sensor planning, Next Best View}
}

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

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