All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00345990" target="_blank" >RIV/68407700:21230/20:00345990 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/20:00345990

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-58558-7_41" target="_blank" >https://doi.org/10.1007/978-3-030-58558-7_41</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-58558-7_41" target="_blank" >10.1007/978-3-030-58558-7_41</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion

  • Original language description

    The internal geometry of most modern consumer cameras is not adequately described by the perspective projection. Almost all cameras exhibit some radial lens distortion and are equipped with electronic rolling shutter that induces distortions when the camera moves during the image capture. When focal length has not been calibrated offline, the parameters that describe the radial and rolling shutter distortions are usually unknown. While, for global shutter cameras, minimal solvers for the absolute camera pose and unknown focal length and radial distortion are available, solvers for the rolling shutter were missing. We present the first minimal solutions for the absolute pose of a rolling shutter camera with unknown rolling shutter parameters, focal length, and radial distortion. Our new minimal solvers combine iterative schemes designed for calibrated rolling shutter cameras with fast generalized eigenvalue and Groebner basis solvers. In a series of experiments, with both synthetic and real data, we show that our new solvers provide accurate estimates of the camera pose, rolling shutter parameters, focal length, and radial distortion parameters. The implementation of our solvers is available at github.com/CenekAlbl/RnP

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Computer Vision - ECCV 2020, Part V

  • ISBN

    978-3-030-58557-0

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    17

  • Pages from-to

    698-714

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • Event location

    Glasgow

  • Event date

    Aug 23, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article