Kinect V2 Infrared Images Correction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F18%3A10236784" target="_blank" >RIV/61989100:27230/18:10236784 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1177/1729881418755780" target="_blank" >https://doi.org/10.1177/1729881418755780</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1177/1729881418755780" target="_blank" >10.1177/1729881418755780</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Kinect V2 Infrared Images Correction

Popis výsledku v původním jazyce

This article presents a novel correction filter for infrared images captured by Kinect V2 sensor. Intended application areas are described and the basic concept of proposed sensory subsystem as well. Preliminary tests of the sensor Kinect V2 in real conditions gave promising results therefore in-depth analysis of its applicability was performed. In the framework of the analysis a relation between infrared value and a distance of captured surface was evaluated for different colors of the surface. Based on that relation and on additional information about a depth of a pixel was created a correction filter. The filter allows improving infrared image in order to increase a success rate probability to be able to detect specific features and key points by algorithms more easily. Outputs from the filter on real conditions data sets are presented in the article as well.

Název v anglickém jazyce

Kinect V2 Infrared Images Correction

Popis výsledku anglicky

This article presents a novel correction filter for infrared images captured by Kinect V2 sensor. Intended application areas are described and the basic concept of proposed sensory subsystem as well. Preliminary tests of the sensor Kinect V2 in real conditions gave promising results therefore in-depth analysis of its applicability was performed. In the framework of the analysis a relation between infrared value and a distance of captured surface was evaluated for different colors of the surface. Based on that relation and on additional information about a depth of a pixel was created a correction filter. The filter allows improving infrared image in order to increase a success rate probability to be able to detect specific features and key points by algorithms more easily. Outputs from the filter on real conditions data sets are presented in the article as well.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

<a href="/cs/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Centrum výzkumu pokročilých mechatronických systémů</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

2018

Kód důvěrnosti údajů

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

Název periodika

International Journal of Advanced Robotic Systems

ISSN

1729-8814

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

1-8

Kód UT WoS článku

000424645300001

EID výsledku v databázi Scopus

2-s2.0-85042765020