Publication detail

Simulation of Camera Features

KUČIŠ, M. ZEMČÍK, P.

Original Title

Simulation of Camera Features

English Title

Simulation of Camera Features

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Camera Imperfections Simulation, Depth of Field  Effect,  Distortion,  Motion  Blur,  Vignetting,  Lens Flare, Image Sensor Features

RIV year

2012

Released

29.04.2012

Publisher

Technical University Wien

Location

Smolenice

ISBN

978-3-9502533-4-4

Book

Proceedings of the 16th Central European Seminar on Computer Graphics

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

117

Pages to

123

Pages count

7

URL

Documents

BibTex


@inproceedings{BUT97048,
  author="Michal {Kučiš} and Pavel {Zemčík}",
  title="Simulation of Camera Features",
  annote="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.",
  address="Technical University Wien",
  booktitle="Proceedings of the 16th Central European Seminar on Computer Graphics",
  chapter="97048",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Technical University Wien",
  year="2012",
  month="april",
  pages="117--123",
  publisher="Technical University Wien",
  type="conference paper"
}