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Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08422.3
URN: urn:nbn:de:0030-drops-18671
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/1867/
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Kähler, Olaf ;
Denzler, Joachim
3-D Reconstruction in Piecewise Planar Environments
Abstract
The structure-from-motion problem is central in applications like visual robot navigation and visual 3d modeling. Typical solutions split the problem into feature tracking and geometric reconstruction steps. Instead we present a combined solution, where the tracking step is implicitly supported by a feedback of 3d information, and the geometric reconstruction is statistically optimal in case of Gaussian noise on image intensities. Experiments confirm an increased accuracy and reliability, and despite a significant computational overhead, the combined solution still runs at 5-10 fps.
BibTeX - Entry
@InProceedings{kahler_et_al:DagSemProc.08422.3,
author = {K"{a}hler, Olaf and Denzler, Joachim},
title = {{3-D Reconstruction in Piecewise Planar Environments}},
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/2009/1867},
URN = {urn:nbn:de:0030-drops-18671},
doi = {10.4230/DagSemProc.08422.3},
annote = {Keywords: Structure-from-motion, tracking, 3d reconstruction}
}
Keywords: |
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Structure-from-motion, tracking, 3d reconstruction |
Collection: |
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08422 - Klausurtagung Lehrstuhl Joachim Denzler |
Issue Date: |
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2009 |
Date of publication: |
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29.01.2009 |