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

Trummer, Michael; Denzler, Joachim

doi:10.4230/DagSemProc.08422.7

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

Authors Michael Trummer, Joachim Denzler

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 8422
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2009-01-29

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Document Identifiers

DOI: 10.4230/DagSemProc.08422.7
URN: urn:nbn:de:0030-drops-18620

Subject Classification

Keywords

3d reconstruction
KLT tracking
sensor planning
Next Best View

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

Cite As Get BibTex

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) https://doi.org/10.4230/DagSemProc.08422.7

Author Details

Michael Trummer

Joachim Denzler

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