3D Metric Reconstruction from Uncalibrated Omnidirectional Images
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
3D Metric Reconstruction from Uncalibrated Omnidirectional Images
Original language description
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
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F01%2F0971" target="_blank" >GA102/01/0971: Omnidirectional Vision</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
6
Pages from-to
545-550
Publisher name
Asian Federation of Computer Vision Societies
Place of publication
Seoul
Event location
Jeju Island
Event date
Jan 27, 2004
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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