Para-catadioptric Camera Auto-calibration from Epipolar Geometry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03096463" target="_blank" >RIV/68407700:21230/04:03096463 - 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
Para-catadioptric Camera Auto-calibration from Epipolar Geometry
Original language description
We present a method for a para-catadioptric camera auto-calibration from point correspondences in two views based on the epipolar constraint. Besides rigidity, no assumptions about the scene are made (e.g. presence of a calibration object). The method leads to a closed form solution - to a polynomial eigenvalue problem and therefore no iterative minimizing process has to be used. The closed form solution allows to apply a 9-point RANSAC robust estimation technique and thus use automatically establishedpoint correspondences contaminated by mismatches. As a result of the calibration method, the calibrated camera, the estimated essential matrix, and the outliers in point matches are obtained. We demonstrate our method in experiments with commercially available parabolic mirror. Moreover, we show that the para-catadioptric camera model can be used in RANSAC to solve correspondence problem for a larger class of catadioptric cameras.
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
748-753
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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