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

Authors: Michael Trummer and Joachim Denzler

Published in: Dagstuhl Seminar Proceedings, Volume 8422, Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes (2009)

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.

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Michael Trummer and Joachim Denzler. Evaluating Guided KLT Tracking for Next Best View Planning in 3D Reconstruction. In Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes. Dagstuhl Seminar Proceedings, Volume 8422, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)

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@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/entities/document/10.4230/DagSemProc.08422.7},
  URN =		{urn:nbn:de:0030-drops-18620},
  doi =		{10.4230/DagSemProc.08422.7},
  annote =	{Keywords: 3d reconstruction, KLT tracking, sensor planning, Next Best View}
}

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

Abstract

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