A Depth Image Quality Benchmark of Three Popular Low-Cost Depth Cameras

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F20%3A10245800" target="_blank" >RIV/61989100:27230/20:10245800 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mmscience.eu/journal/issues/december-2020/articles/a-depth-image-quality-benchmark-of-three-popular-low-cost-depth-cameras" target="_blank" >https://www.mmscience.eu/journal/issues/december-2020/articles/a-depth-image-quality-benchmark-of-three-popular-low-cost-depth-cameras</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17973/MMSJ.2020_12_2020057" target="_blank" >10.17973/MMSJ.2020_12_2020057</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Depth Image Quality Benchmark of Three Popular Low-Cost Depth Cameras

Popis výsledku v původním jazyce

A depth camera outputs an image in which each pixel depicts the distance between the camera plane and the corresponding point on the image plane. Low-cost depth cameras are becoming commonplace and given their applications in the field of machine vision, one must carefully select the right device according to the environment in which the camera will be used given the accuracy these cameras can be associated with factors such as distance from the target, luminosity of the environment, etc. This paper aims to compare three depth cameras currently available in the market, Intel RealSense D435, which uses stereo vision to compute depth at pixels, ASUS Xtion and Microsoft Kinect 2 represent Time of flight-based depth cameras. The comparison will be based on how the cameras perform at different distances from a flat surface and we will check if the colour of the surface affects the depth image quality.

Název v anglickém jazyce

A Depth Image Quality Benchmark of Three Popular Low-Cost Depth Cameras

Popis výsledku anglicky

A depth camera outputs an image in which each pixel depicts the distance between the camera plane and the corresponding point on the image plane. Low-cost depth cameras are becoming commonplace and given their applications in the field of machine vision, one must carefully select the right device according to the environment in which the camera will be used given the accuracy these cameras can be associated with factors such as distance from the target, luminosity of the environment, etc. This paper aims to compare three depth cameras currently available in the market, Intel RealSense D435, which uses stereo vision to compute depth at pixels, ASUS Xtion and Microsoft Kinect 2 represent Time of flight-based depth cameras. The comparison will be based on how the cameras perform at different distances from a flat surface and we will check if the colour of the surface affects the depth image quality.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

20501 - Materials engineering

Projekt

<a href="/cs/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: Platforma pro výzkum orientovaný na Průmysl 4.0 a robotiku v ostravské aglomeraci</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

MM Science Journal

ISSN

1803-1269

e-ISSN

—

Svazek periodika

Dec 2020

Číslo periodika v rámci svazku

December 2020

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

7

Strana od-do

4194-4200

Kód UT WoS článku

000600414800004

EID výsledku v databázi Scopus

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