Metrological Analysis Of Microsoft Kinect In The Context Of Object Localization

This paper presents a comprehensive metrological analysis of the Microsoft Kinect motion sensor performed using a proprietary flat marker. The designed marker was used to estimate its position in the external coordinate system associated with the sensor. The study includes calibration of the RGB and...

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Main Authors: Skalski Andrzej, Machura Bartosz
Format: Article
Language:English
Published: Polish Academy of Sciences 2015-12-01
Series:Metrology and Measurement Systems
Subjects:
Online Access:http://www.degruyter.com/view/j/mms.2015.22.issue-4/mms-2015-0050/mms-2015-0050.xml?format=INT
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spelling doaj-668c22c71aff44e9baeb240bf31268742020-11-25T03:43:38ZengPolish Academy of SciencesMetrology and Measurement Systems2300-19412015-12-0122446947810.1515/mms-2015-0050mms-2015-0050Metrological Analysis Of Microsoft Kinect In The Context Of Object LocalizationSkalski Andrzej0Machura Bartosz1AGH University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Kraków, PolandAGH University of Science and Technology, Department of Measurement and Electronics, Al. Mickiewicza 30, 30-059 Kraków, PolandThis paper presents a comprehensive metrological analysis of the Microsoft Kinect motion sensor performed using a proprietary flat marker. The designed marker was used to estimate its position in the external coordinate system associated with the sensor. The study includes calibration of the RGB and IR cameras, parameter identification and image registration. The metrological analysis is based on the data corrected for sensor optical distortions. From the metrological point of view, localization errors are related to the distance of an object from the sensor. Therefore, the rotation angles were determined and an accuracy assessment of the depth maps was performed. The analysis was carried out for the distances from the marker in the range of 0.8−1.65 m. The maximum average error was equal to 23 mm for the distance of 1.6 m.http://www.degruyter.com/view/j/mms.2015.22.issue-4/mms-2015-0050/mms-2015-0050.xml?format=INTKinect motion sensorlocalizationcamera calibrationmeasurement precisionrobustness
collection DOAJ
language English
format Article
sources DOAJ
author Skalski Andrzej
Machura Bartosz
spellingShingle Skalski Andrzej
Machura Bartosz
Metrological Analysis Of Microsoft Kinect In The Context Of Object Localization
Metrology and Measurement Systems
Kinect motion sensor
localization
camera calibration
measurement precision
robustness
author_facet Skalski Andrzej
Machura Bartosz
author_sort Skalski Andrzej
title Metrological Analysis Of Microsoft Kinect In The Context Of Object Localization
title_short Metrological Analysis Of Microsoft Kinect In The Context Of Object Localization
title_full Metrological Analysis Of Microsoft Kinect In The Context Of Object Localization
title_fullStr Metrological Analysis Of Microsoft Kinect In The Context Of Object Localization
title_full_unstemmed Metrological Analysis Of Microsoft Kinect In The Context Of Object Localization
title_sort metrological analysis of microsoft kinect in the context of object localization
publisher Polish Academy of Sciences
series Metrology and Measurement Systems
issn 2300-1941
publishDate 2015-12-01
description This paper presents a comprehensive metrological analysis of the Microsoft Kinect motion sensor performed using a proprietary flat marker. The designed marker was used to estimate its position in the external coordinate system associated with the sensor. The study includes calibration of the RGB and IR cameras, parameter identification and image registration. The metrological analysis is based on the data corrected for sensor optical distortions. From the metrological point of view, localization errors are related to the distance of an object from the sensor. Therefore, the rotation angles were determined and an accuracy assessment of the depth maps was performed. The analysis was carried out for the distances from the marker in the range of 0.8−1.65 m. The maximum average error was equal to 23 mm for the distance of 1.6 m.
topic Kinect motion sensor
localization
camera calibration
measurement precision
robustness
url http://www.degruyter.com/view/j/mms.2015.22.issue-4/mms-2015-0050/mms-2015-0050.xml?format=INT
work_keys_str_mv AT skalskiandrzej metrologicalanalysisofmicrosoftkinectinthecontextofobjectlocalization
AT machurabartosz metrologicalanalysisofmicrosoftkinectinthecontextofobjectlocalization
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