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Description
  • Computer vision algorithms typically process real world image data acquired by cameras or video cameras.  Such image data suffer from imperfections caused by the acquisition process. This paper focuses on simulation of the acquisition process in order to enable rendering of images based on a 3D generated model that are as close to the images acquired by cameras or video cameras as possible. Its main purpose is simulation of video input for computer vision applications, e.g. robot navigation. Imperfections, such as geometry distortion, chromatic aberration, depth of field effect, motion blur, exposure automation, vignetting, inner lens reflections, and also imperfections caused by image sensor features are considered. The paper, besides description of imperfections of the acquisition process and description of imperfections simulation, also presents results of the simulation software through illustrative figures produced by the software.
  • Computer vision algorithms typically process real world image data acquired by cameras or video cameras.  Such image data suffer from imperfections caused by the acquisition process. This paper focuses on simulation of the acquisition process in order to enable rendering of images based on a 3D generated model that are as close to the images acquired by cameras or video cameras as possible. Its main purpose is simulation of video input for computer vision applications, e.g. robot navigation. Imperfections, such as geometry distortion, chromatic aberration, depth of field effect, motion blur, exposure automation, vignetting, inner lens reflections, and also imperfections caused by image sensor features are considered. The paper, besides description of imperfections of the acquisition process and description of imperfections simulation, also presents results of the simulation software through illustrative figures produced by the software. (en)
Title
  • Simulation of Camera Features
  • Simulation of Camera Features (en)
skos:prefLabel
  • Simulation of Camera Features
  • Simulation of Camera Features (en)
skos:notation
  • RIV/00216305:26230/12:PU101873!RIV13-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7H10011), S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 167994
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/12:PU101873
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Camera Imperfections Simulation, Depth of Field  Effect,  Distortion,  Motion  Blur,  Vignetting,  Lens Flare, Image Sensor Features (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [B24678F8A6AC]
http://linked.open...v/mistoKonaniAkce
  • Smolenice SK
http://linked.open...i/riv/mistoVydani
  • Smolenice
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 16th Central European Seminar on Computer Graphics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Zemčík, Pavel
  • Kučiš, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Technical University Wien
https://schema.org/isbn
  • 978-3-9502533-4-4
http://localhost/t...ganizacniJednotka
  • 26230
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