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Measuring camera translation by the dominant apical angle

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03150798" target="_blank" >RIV/68407700:21230/08:03150798 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measuring camera translation by the dominant apical angle

  • Original language description

    This paper provides a technique for measuring camera translation relatively to the scene from two images. We demonstrate that the amount of the translation can be reliably measured for general as well as planar scenes by the most frequent apical angle, the angle under which the camera centers are seen from the perspective of the reconstructed scene points. Simulated experiments show that the dominant apical angle is a linear function of the length of the true camera translation. In a real experiment, wedemonstrate that by skipping image pairs with too small motion, we can reliably initialize structure from motion, compute accurate camera trajectory in order to rectify images and use the ground plane constraint in recognition of pedestrians in a hand-held video sequence.

  • Czech name

    Measuring camera translation by the dominant apical angle

  • Czech description

    This paper provides a technique for measuring camera translation relatively to the scene from two images. We demonstrate that the amount of the translation can be reliably measured for general as well as planar scenes by the most frequent apical angle, the angle under which the camera centers are seen from the perspective of the reconstructed scene points. Simulated experiments show that the dominant apical angle is a linear function of the length of the true camera translation. In a real experiment, wedemonstrate that by skipping image pairs with too small motion, we can reliably initialize structure from motion, compute accurate camera trajectory in order to rectify images and use the ground plane constraint in recognition of pedestrians in a hand-held video sequence.

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

    7

  • 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

    000259736801020