An Algebraic Approach to Camera Calibration Based on Distance Constraints
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00200619" target="_blank" >RIV/68407700:21230/11:00200619 - 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
An Algebraic Approach to Camera Calibration Based on Distance Constraints
Original language description
In this paper, we propose an approach to an algebraic computation of a projective transformation matrix that upgrades a 3D reconstruction. Constraints are derived from images of segments of equal lengths and yield a set of polynomial equations which we try to solve by the means of Gröbner bases. Since a straightforward computation is infeasible for this problem, a strategy is introduced in which a Gröbner basis is constructed for a special template data first and the actual data is processed afterwardsaccording to the resulting procedure template. We present experiments that encourage the assumption that this method is applicable in general.
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
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
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
CVWW 2011: Proceedings of the 16th Computer Vision Winter Workshop
ISBN
978-3-85125-129-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
72-79
Publisher name
Graz University of Technology
Place of publication
Graz
Event location
Mitterberg
Event date
Feb 2, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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