Efficient Localization of Panoramic Images Using Tiled Image Descriptors

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Efficient Localization of Panoramic Images Using Tiled Image Descriptors

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Efficient Localization of Panoramic Images Using Tiled Image Descriptors

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/7E13015" target="_blank" >7E13015: Planetary Robotics Data Exploitation</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IPSJ Transactions on Computer Vision and Applications (CVA)

ISSN

1882-6695

e-ISSN

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Svazek periodika

6

Číslo periodika v rámci svazku

July

Stát vydavatele periodika

JP - Japonsko

Počet stran výsledku

5

Strana od-do

58-62

Kód UT WoS článku

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EID výsledku v databázi Scopus

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