A Branch-and-Bound Algorithm for Globally Optimal Hand-Eye Calibration
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200345" target="_blank" >RIV/68407700:21230/12:00200345 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CVPR.2012.6247853" target="_blank" >http://dx.doi.org/10.1109/CVPR.2012.6247853</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR.2012.6247853" target="_blank" >10.1109/CVPR.2012.6247853</a>
Alternative languages
Result language
angličtina
Original language name
A Branch-and-Bound Algorithm for Globally Optimal Hand-Eye Calibration
Original language description
This paper introduces a novel solution to hand-eye calibration problem. It is the first method that uses camera measurements directly and at the same time requires neither prior knowledge of the external camera calibrations nor a known calibration device. Our algorithm uses branch-and-bound approach to minimize an objective function based on the epipolar constraint. Further, it employs Linear Programming to decide the bounding step of the algorithm. The presented technique is able to recover both the unknown rotation and translation simultaneously and the solution is guaranteed to be globally optimal with respect to the L_infty-norm.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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
Article name in the collection
CVPR 2012: Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
978-1-4673-1228-8
ISSN
1063-6919
e-ISSN
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Number of pages
8
Pages from-to
1608-1615
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Providence, Rhode Island
Event date
Jun 16, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000309166201096