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Efficient Intersection of Three Quadrics and Applications in Computer Vision

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F16%3A00307404" target="_blank" >RIV/68407700:21730/16:00307404 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CVPR.2016.199" target="_blank" >http://dx.doi.org/10.1109/CVPR.2016.199</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CVPR.2016.199" target="_blank" >10.1109/CVPR.2016.199</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient Intersection of Three Quadrics and Applications in Computer Vision

  • Original language description

    In this paper, we present a new algorithm for finding all intersections of three quadrics. The proposed method is algebraic in nature and it is considerably more efficient than the Groebner basis and resultant-based solutions previously used in computer vision applications. We identify several computer vision problems that are formulated and solved as systems of three quadratic equations and for which our algorithm readily delivers considerably faster results. Also, we propose new formulations of three important vision problems: absolute camera pose with unknown focal length, generalized pose-and-scale, and hand-eye calibration with known translation. These new formulations allow our algorithm to significantly outperform the state-of-the-art in speed.

  • 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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • 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 2016: Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition

  • ISBN

    978-1-4673-8851-1

  • ISSN

    1063-6919

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1799-1808

  • Publisher name

    IEEE Computer Society Press

  • Place of publication

    Los Alamitos

  • Event location

    Las Vegas

  • Event date

    Jun 26, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article