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Reliable 3D reconstruction from a few catadioptric images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F02%3A03092001" target="_blank" >RIV/68407700:21230/02:03092001 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reliable 3D reconstruction from a few catadioptric images

  • Original language description

    This paper proposes a scheme for the reliable reconstruction of indoor scenes from few catadioptric images. A set of hand-detected correspondences are established across (not necessarily all) images. Our improved method is used for the estimation of theessential matrix from points which have appropriately normalized coordinates. Hartley's decomposition is used for estimation of motion parameters. A heuristic is suggested for selecting the point pairs which are {em most reliable/} for 3D reconstruction. The known mid-point method is applied for computing the 3D model of a real scene. The parameters of the catradioptric sensor are approximately known but no precise self-calibration method is performed. The experiments show that a reliable 3D reconstruction is possible even without complicated non-linear self-calibration and/or recontruction methods.

  • Czech name

  • Czech description

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

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2002

  • 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 IEEE Workshop on Omnidirectional Vision

  • ISBN

    0-7695-1629-7

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    71-78

  • Publisher name

    IEEE Computer Society Press

  • Place of publication

    Los Alamitos

  • Event location

    Copenhagen

  • Event date

    Jan 1, 2002

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article