3D reconstruction from image collections with a single known focal length
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00163114" target="_blank" >RIV/68407700:21230/09:00163114 - 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
3D reconstruction from image collections with a single known focal length
Original language description
In this paper we aim at reconstructing 3D scenes from images with unknown focal lengths downloaded from photosharing websites such as Flickr. First we provide a minimal solution to finding the relative pose between a completely calibrated camera and a camera with an unknown focal length given six point correspondences. We show that this problem has up to nine solutions in general and present two efficient solvers to the problem. They are based on Groebner basis, resp. on generalized eigenvalues, computation. We demonstrate by experiments with synthetic and real data that both solvers are correct, fast, numerically stable and work well even in some situations when the classical 6-point algorithm fails, e.g. when optical axes of the cameras are parallelor intersecting. Based on this solution we present a new efficient method for large-scale structure from motion from unordered data sets downloaded from the Internet. We show that this method can be effectively used to reconstruct 3D scen
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)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2009 IEEE 12th International Conference on Computer Vision
ISBN
978-1-4244-4419-9
ISSN
1550-5499
e-ISSN
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Number of pages
8
Pages from-to
351-358
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Kyoto
Event date
Sep 29, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000294955300232