Radial Distortion Homography
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235489" target="_blank" >RIV/68407700:21230/15:00235489 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/15:00321165 RIV/68407700:21730/15:00321165
Result on the web
<a href="http://dx.doi.org/10.1109/CVPR.2015.7298663" target="_blank" >http://dx.doi.org/10.1109/CVPR.2015.7298663</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CVPR.2015.7298663" target="_blank" >10.1109/CVPR.2015.7298663</a>
Alternative languages
Result language
angličtina
Original language name
Radial Distortion Homography
Original language description
The importance of precise homography estimation is often underestimated even though i t plays a crucial role in various vision applications such as plane or planarity detection, scene degeneracy tests, camera motion classification, image stitching, and many more. Ignoring the rad ial distortion component in homography estimation-even for classical perspective cameras-may lead to significant errors or totally wrong estimates. In this paper, we fill the gap among the homog raphy estimation methods by presenting two algorithms for estimating homography between two camer as with different radial distortions. Both algorithms can handle planar scenes as well as scenes where the relative motion between the cameras is a pure rotation. The first algorithm usesthe mi nimal number of five image point correspondences and solves a nonlinear system of polynomial equa tions using Groebner basis method. The second algorithm uses a non-minimal number of six image poi nt correspondences and leads to a
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
2015
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 2015: Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
978-1-4673-6964-0
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
639-647
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Boston
Event date
Jun 7, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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