Omnidirectional Image Stabilization for Visual Object Recognition

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Omnidirectional Image Stabilization for Visual Object Recognition

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Omnidirectional Image Stabilization for Visual Object Recognition

Popis výsledku anglicky

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.

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/7E09062" target="_blank" >7E09062: Planetary Robotics Vision Ground Processing</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název periodika

International Journal of Computer Vision

ISSN

0920-5691

e-ISSN

—

Svazek periodika

91

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

18

Strana od-do

157-174

Kód UT WoS článku

000286360400003

EID výsledku v databázi Scopus

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