Není k dispozici

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03096462" target="_blank" >RIV/68407700:21230/04:03096462 - 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

3D Metric Reconstruction from Uncalibrated Omnidirectional Images

Popis výsledku v původním jazyce

We show that it is possible to obtain a very complete 3D metric reconstruction of the surrounding scene from two or more uncalibrated omnidirectional images. In particular, we demonstrate that omnidirectional images with angle of view above 180 degrees can be reliably autocalibrated. We also show that wide angle images provide reliable information about their camera positions and orientations. We link together a method for simultaneous omnidirectional camera model and epipolar geometry estimation and amethod for factorization-based 3D reconstruction in order to obtain metric reconstruction of unknown scene observed by uncalibrated omnidirectional images. The 3D reconstruction is done from automatically established image correspondences only. Besides rigidity, no assumptions about the scene are made (e.g. presence of a calibration object). We demonstrate our method in experiments with Nikon FC-E8 and Sigma 8mm-f4-EX fish-eye lenses. Nevertheless, the proposed method can be used for a l

Název v anglickém jazyce

3D Metric Reconstruction from Uncalibrated Omnidirectional Images

Popis výsledku anglicky

We show that it is possible to obtain a very complete 3D metric reconstruction of the surrounding scene from two or more uncalibrated omnidirectional images. In particular, we demonstrate that omnidirectional images with angle of view above 180 degrees can be reliably autocalibrated. We also show that wide angle images provide reliable information about their camera positions and orientations. We link together a method for simultaneous omnidirectional camera model and epipolar geometry estimation and amethod for factorization-based 3D reconstruction in order to obtain metric reconstruction of unknown scene observed by uncalibrated omnidirectional images. The 3D reconstruction is done from automatically established image correspondences only. Besides rigidity, no assumptions about the scene are made (e.g. presence of a calibration object). We demonstrate our method in experiments with Nikon FC-E8 and Sigma 8mm-f4-EX fish-eye lenses. Nevertheless, the proposed method can be used for a l

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F01%2F0971" target="_blank" >GA102/01/0971: Všesměrové vidění</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the Asian Conference on Computer Vision (ACCV)

ISBN

89-954842-0-9

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

545-550

Název nakladatele

Asian Federation of Computer Vision Societies

Místo vydání

Seoul

Místo konání akce

Jeju Island

Datum konání akce

27. 1. 2004

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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