Robust focal length estimation by voting in multiview scene reconstruction

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00175492" target="_blank" >RIV/68407700:21230/10:00175492 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Robust focal length estimation by voting in multiview scene reconstruction
Original language description
We propose a new robust focal length estimation method in multi-view structure from motion from unordered data sets, e.g. downloaded from the Flickr database, where jpeg-exif headers are often incorrect or missing. The method is based on a combination ofRANSAC with weighted kernel voting and can use any algorithm for estimating epipolar geometry and unknown focal lengths. We demonstrate by experiments with synthetic and real data that the method produces reliable focal length estimates which are betterthan estimates obtained using RANSAC or kernel voting alone and which are in most real situations very close to the ground truth. An important feature of this method is the ability to detect image pairs close to critical configurations or the cases whenthe focal length can't be reliably estimated.
Czech name
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Czech description
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Project
<a href="/en/project/7E09062" target="_blank" >7E09062: Planetary Robotics Vision Ground Processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>R - Projekt Ramcoveho programu EK

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ACCV 2009: Proceedings of the 9th Asian Conference on Computer Vision, Part I
ISBN
978-3-642-12306-1
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
Springer
Place of publication
Heidelberg
Event location
Xian
Event date
Sep 23, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000279642500002

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