Omnidirectional Image Stabilization for Visual Object Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00175549" target="_blank" >RIV/68407700:21230/11:00175549 - isvavai.cz</a>
Result on the web
<a href="http://www.springerlink.com/content/f6536778620783r7/fulltext.pdf" target="_blank" >http://www.springerlink.com/content/f6536778620783r7/fulltext.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11263-010-0350-x" target="_blank" >10.1007/s11263-010-0350-x</a>
Alternative languages
Result language
angličtina
Original language name
Omnidirectional Image Stabilization for Visual Object Recognition
Original language description
In this paper, we present a pipeline for camera pose and trajectory estimation, and image stabilization and rectification for dense as well as wide baseline omnidirectional images. The proposed pipeline transforms a set of images taken by a single hand-held camera to a set of stabilized and rectified images augmented by the computed camera 3D trajectory and reconstruction of feature points facilitating visual object recognition. The paper generalizes previous works on camera trajectory estimation done on perspective images to omnidirectional images and introduces a new technique for omnidirectional image rectification that is suited for recognizing people and cars in images. The performance of the pipeline is demonstrated on real image sequences acquired in urban as well as natural environments.
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
<a href="/en/project/7E09062" target="_blank" >7E09062: Planetary Robotics Vision Ground Processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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
Name of the periodical
International Journal of Computer Vision
ISSN
0920-5691
e-ISSN
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Volume of the periodical
91
Issue of the periodical within the volume
2
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
18
Pages from-to
157-174
UT code for WoS article
000286360400003
EID of the result in the Scopus database
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