Epipolar Geometry Estimation for Wide-baseline Omnidirectional Street View Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00187146" target="_blank" >RIV/68407700:21230/11:00187146 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Epipolar Geometry Estimation for Wide-baseline Omnidirectional Street View Images
Original language description
This paper presents a new robust method of epipolar-geometry estimation for omnidirectional images in wide-baseline settings, e.g. with Goolgle Street View images. The main idea is to learn new statistical geometric constraints that are derived from thefeature descriptors into the model verification process of RANSAC. We show that these constraints provide correct epipolae geometry in very difficult situations. Robustness of epipolar-geometry estimation is quantitativelt evaluated for omnidirectional image pairs with variable baseline. The performance of the proposed method is demonstrated using the complete pipeline of structure-from-motion with real datasets of Google Street View images.
Czech name
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Czech description
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Project
<a href="/en/project/7E10046" target="_blank" >7E10046: Planetary Robotics Vision Scout</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)
ISBN
978-1-4673-0063-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
56-63
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Barcelona
Event date
Nov 6, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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