Efficient solutions to the absolute pose of cameras with unknown focal length and radial distortion by decomposition to planar and non-planar cases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00196132" target="_blank" >RIV/68407700:21230/12:00196132 - 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
Efficient solutions to the absolute pose of cameras with unknown focal length and radial distortion by decomposition to planar and non-planar cases
Original language description
In this paper we present new efficient solutions to the absolute pose problems for cameras with unknown focal length and unknown focal length and radial distortion from four 2D-to-3D point correspondences. We propose to solve these problems separately for non-planar and for planar scenes. By decomposing the problems into these two situations we obtain simpler and more efficient solvers than the previously known general solvers. We demonstrate in synthetic and real experiments significant speedup of oursolvers. Especially our new solvers for absolute pose problem for camera with unknown focal length and radial distortion are about 40 x (non-planar) and 160 x (planar) faster than the general solver. Moreover, we show that our specific solvers can be joined into new general solvers, based on performing either planar or non-planar solver according to the scene structure or performing both solvers simultaneously and selecting the better result. Such joined solvers give comparable or even b
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IPSJ Transactions on Computer Vision and Applications (CVA)
ISSN
1882-6695
e-ISSN
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Volume of the periodical
4
Issue of the periodical within the volume
May
Country of publishing house
JP - JAPAN
Number of pages
9
Pages from-to
78-86
UT code for WoS article
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EID of the result in the Scopus database
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