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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

  • DOI - Digital Object Identifier

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

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

  • e-ISSN

  • 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