Real-time solution to the absolute pose problem with unknown radial distortion and focal length
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212566" target="_blank" >RIV/68407700:21230/13:00212566 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/~kukelova/publications/Kukelova-Bujnak-ICCV-2013.pdf" target="_blank" >http://cmp.felk.cvut.cz/~kukelova/publications/Kukelova-Bujnak-ICCV-2013.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Real-time solution to the absolute pose problem with unknown radial distortion and focal length
Original language description
The problem of determining the absolute position and orientation of a camera from a set of 2D-to-3D point correspondences is one of the most important problems in computer vision with a broad range of applications. In this paper we present a new solutionto the absolute pose problem for camera with unknown radial distortion and unknown focal length from five 2D-to-3D point correspondences. Our new solver is numerically more stable, more accurate, and significantly faster than the existing state-of-the-art minimal four point absolute pose solvers for this problem. Moreover, our solver results in less solutions and can handle larger radial distortions. The new solver is straightforward and uses only simple concepts from linear algebra. Therefore it is simpler than the state-of-the-art Groebner basis solvers. We compare our new solver with the existing state-of-the art solvers and show its usefulness on synthetic and real datasets.
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/7E13015" target="_blank" >7E13015: Planetary Robotics Data Exploitation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2013 IEEE International Conference on Computer Vision (ICCV 2013)
ISBN
978-1-4799-2839-2
ISSN
1550-5499
e-ISSN
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Number of pages
8
Pages from-to
2816-2823
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Sydney
Event date
Dec 3, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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