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

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
A Depth Image Quality Benchmark of Three Popular Low-Cost Depth Cameras
Original language description
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.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20501 - Materials engineering

Project
<a href="/en/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: A Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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