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R6P - Rolling Shutter Absolute Camera Pose

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00235485" target="_blank" >RIV/68407700:21230/15:00235485 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/CVPR.2015.7298842" target="_blank" >http://dx.doi.org/10.1109/CVPR.2015.7298842</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CVPR.2015.7298842" target="_blank" >10.1109/CVPR.2015.7298842</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    R6P - Rolling Shutter Absolute Camera Pose

  • Original language description

    We present a minimal, non-iterative solution to the absolute pose problem for images from rolling shutter cameras. Absolute pose problem is a key problem in computer vision and rolli ng shutter is present in a vast majority of today's digital cameras. Wepropose several rolling s hutter camera models and verify their feasibility for a polynomial solver. A solution based on li nearized camera model is chosen and verified in several experiments. We use a linear approximatio n to the camera orientation, which is meaningful only around the identity rotation. We show that the standard P3P algorithm is able to estimate camera orientation within 6 degrees for camera rot ation velocity as high as 30deg/frame. Therefore we can use the standard P3P algorithm toestimat e camera orientation and to bring the camera rotation matrix close to the identity. Using this so lution, camera position, orientation, translational velocity and angular velocity can be computed using six 2D-to-3D correspondences

  • 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/7E13015" target="_blank" >7E13015: Planetary Robotics Data Exploitation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • 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 2015: Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

  • ISBN

    978-1-4673-6964-0

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    2292-2300

  • Publisher name

    IEEE Computer Society Press

  • Place of publication

    New York

  • Event location

    Boston

  • Event date

    Jun 7, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article