Kinect v2 infrared images correction

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-de...

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Published inInternational journal of advanced robotic systems Vol. 15; no. 1
Main Authors Bobovský, Zdenko, Krys, Václav, Mostýn, Vladimír
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 06.02.2018
Sage Publications Ltd
SAGE Publishing
Subjects
Algorithms
Image filters
Infrared analysis
Infrared filters
Infrared imagery
Subsystems
Kinect v2
Vision system
cargo boxes
coal mine
service robotics
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Abstract 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 the depth of a pixel, a correction filter was created. The filter allows improving infrared image in order to increase the 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 also presented in the article.
AbstractList 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 the depth of a pixel, a correction filter was created. The filter allows improving infrared image in order to increase the 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 also presented in the article.
Author Krys, Václav
Mostýn, Vladimír
Bobovský, Zdenko
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Cites_doi 10.1177/1729881416663370
10.1177/0278364916679497
10.1177/0278364914549488
10.1109/TPAMI.1986.4767851
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Issue 1
Keywords Kinect v2
Vision system
cargo boxes
coal mine
service robotics
Language English
License This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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SubjectTerms Algorithms
Image filters
Infrared analysis
Infrared filters
Infrared imagery
Subsystems
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Title Kinect v2 infrared images correction
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