Simulation of Camera Features

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F12%3APU101873" target="_blank" >RIV/00216305:26230/12:PU101873 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.cescg.org/CESCG-2012/proceedings/CESCG-2012.pdf" target="_blank" >http://www.cescg.org/CESCG-2012/proceedings/CESCG-2012.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Simulation of Camera Features

Popis výsledku v původním jazyce

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 toenable 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.

Název v anglickém jazyce

Simulation of Camera Features

Popis výsledku anglicky

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 toenable 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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/7H10011" target="_blank" >7H10011: Robust & Safe Mobile Co-operative Autonomous Systems</a><br>

Návaznosti

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

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 16th Central European Seminar on Computer Graphics

ISBN

978-3-9502533-4-4

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

117-123

Název nakladatele

Technical University Wien

Místo vydání

Smolenice

Místo konání akce

Smolenice SK

Datum konání akce

29. 4. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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