Efficient Localization of Panoramic Images Using Tiled Image Descriptors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00228241" target="_blank" >RIV/68407700:21230/14:00228241 - 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
Efficient Localization of Panoramic Images Using Tiled Image Descriptors
Original language description
We seek to localize a query panorama with a wide field of view given a large database of street-level geo- tagged imagery. This is a challenging task because of significant changes in appearance due to viewpoint, season, occluding people or newly constructed buildings. An additional key challenge is the computational and memory ef- ficiency due to the planet-scale size of the available geotagged image databases. The contributions of this paper are two-fold. First, we develop a compact image representation for scalable retrieval of panoramic images that represents each panorama as an ordered set of vertical image tiles. Two panoramas are matched by efficiently searching for their optimal horizontal alignment, while respecting the tile ordering constraint. Second, we collect a new challenging query test dataset from Shibuya, Tokyo containing more than thousand panoramic and perspective query images with manu- ally verified ground truth geolocation. We demonstrate significant improvements
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/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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IPSJ Transactions on Computer Vision and Applications (CVA)
ISSN
1882-6695
e-ISSN
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Volume of the periodical
6
Issue of the periodical within the volume
July
Country of publishing house
JP - JAPAN
Number of pages
5
Pages from-to
58-62
UT code for WoS article
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EID of the result in the Scopus database
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