The six point algorithm revisited
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00192159" target="_blank" >RIV/68407700:21230/11:00192159 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The six point algorithm revisited
Original language description
This paper presents an algorithm for estimating camera focal length from tentative matches in a pair of images, which works robustly in practical situations such as automatic computation of structure and camera motion from unknown photographs, e.g. fromthe web or from various instruments mounted on a vehicle. We extend the standard 6-pt algorithm based on the observations: (i) the quality of the estimation of this algorithm is strongly correlated with the ratio of the singular values of the essential matrix computed from inliers, which is calibrated by using the estimated focal length, returned by RANSAC and (ii) the reprojection error of the affine camera model, fit to the inliers, predicts the uncertainty in the estimated focal length. Furthermore,for scenes with dominant plane we propose a novel algorithm calculating relative orientation and unknown focal length given a plane homography and a single off the plane point correspondence. The performance of the proposed algorithm is d
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
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>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Vision - ACCV 2010 Workshops, Revised Selected Papers, Part II
ISBN
978-3-642-22818-6
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
184-193
Publisher name
Springer
Place of publication
Berlin
Event location
Queenstown
Event date
Nov 8, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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