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A general solution to the p4p problem for camera with unknown focal length

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03149970" target="_blank" >RIV/68407700:21230/08:03149970 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A general solution to the p4p problem for camera with unknown focal length

  • Original language description

    This paper presents a general solution to the determination of the pose of a perspective camera with unknown focal length from images of four 3D reference points. Our problem is a generalization of the P3P and P4P problems previously developed for fullycalibrated cameras. Given four 2D-to-3D correspondences, we estimate camera position, orientation and recover the camera focal length. We formulate the problem and provide a minimal solution from four points by solving a system of algebraic equations. Wecompare the Hidden variable resultant and Gröbner basis techniques for solving the algebraic equations of our problem. By evaluating them on synthetic and on real-data, we show that the Gröbner basis technique provides stable results.

  • Czech name

    A general solution to the p4p problem for camera with unknown focal length

  • Czech description

    This paper presents a general solution to the determination of the pose of a perspective camera with unknown focal length from images of four 3D reference points. Our problem is a generalization of the P3P and P4P problems previously developed for fullycalibrated cameras. Given four 2D-to-3D correspondences, we estimate camera position, orientation and recover the camera focal length. We formulate the problem and provide a minimal solution from four points by solving a system of algebraic equations. Wecompare the Hidden variable resultant and Gröbner basis techniques for solving the algebraic equations of our problem. By evaluating them on synthetic and on real-data, we show that the Gröbner basis technique provides stable results.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    CVPR 2008: Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

  • ISBN

    978-1-4244-2242-5

  • ISSN

    1063-6919

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    Omnipress

  • Place of publication

    Medison

  • Event location

    Anchorage, Alaska

  • Event date

    Jun 24, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000259736803029