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Omnidirectional camera motion estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03155764" target="_blank" >RIV/68407700:21230/08:03155764 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Omnidirectional camera motion estimation

  • Original language description

    We present an automatic technique for computing relative camera motion and simultaneous omnidirectional image matching. The technics works for small as well as large motions, tolerates multiple moving objects and very large occlusions in the scene. We show that the correct motion is found much sooner if the tentative matches are sampled after ordering them by the similarity of their descriptors. Secondly, we show that the correct camera motion can be better found by soft voting for the direction of themotion than by selecting the motion that is supported by the largest set of matches. Finally, we show that it is useful to filter out the epipolar geometries which are not generated by points reconstructed in front of cameras.

  • Czech name

    Omnidirectional camera motion estimation

  • Czech description

    We present an automatic technique for computing relative camera motion and simultaneous omnidirectional image matching. The technics works for small as well as large motions, tolerates multiple moving objects and very large occlusions in the scene. We show that the correct motion is found much sooner if the tentative matches are sampled after ordering them by the similarity of their descriptors. Secondly, we show that the correct camera motion can be better found by soft voting for the direction of themotion than by selecting the motion that is supported by the largest set of matches. Finally, we show that it is useful to filter out the epipolar geometries which are not generated by points reconstructed in front of cameras.

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

    VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications

  • ISBN

    978-989-8111-21-0

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    INSTICC Press

  • Place of publication

    Setúbal

  • Event location

    Funchal, Madeira

  • Event date

    Jan 22, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000256791600090