Calibration of depth measurement model for Kinect-type 3D vision sensors

Karan, Branko

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Abstract

Accuracy of depth measurement with Microsoft Kinect and similar 3D vision sensors depends on variations in sensor production. Sensor reading may show significant systematic errors that can be compensated in software by using an adequate depth calibration model. This paper presents one such model and a procedure for identification of its parameters. An example calibration is given to illustrate the procedure and the attained improvements.

Keywords:

Microsoft Kinect sensor / 3D sensing / depth camera / RGB-D camera / camera calibration

Source:
21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2013, Poster Proceedings, 2013, 61-64

Publisher:

Plzen : University of West Bohemia, Plzen, Czech Republic

Funding / projects:

Note:

Preprint of the paper Karan, B. “Calibration of depth measurement model for Kinect ‐ type 3D vision sensors.” In the 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2013, Poster Proceedings, 61‐64, 2013. Published version is available at http://otik.zcu.cz/bitstream/handle/11025/10626/Karan.pdf

[ Google Scholar ]

Handle

https://hdl.handle.net/21.15107/rcub_dais_717

URI

https://dais.sanu.ac.rs/123456789/717

Collections

ИТН САНУ - Општа колекција / ITS SASA - General collection

Institution/Community

Институт техничких наука САНУ / Institute of Technical Sciences of SASA

TY  - CONF
AU  - Karan, Branko
PY  - 2013
UR  - https://dais.sanu.ac.rs/123456789/717
AB  - Accuracy of depth measurement with Microsoft Kinect and similar 3D vision sensors depends on variations in sensor production. Sensor reading may show significant systematic errors that can be compensated in software by using an adequate depth calibration model. This paper presents one such model and a procedure for identification of its parameters. An example calibration is given to illustrate the procedure and the attained improvements.
PB  - Plzen : University of West Bohemia, Plzen, Czech Republic
C3  - 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2013, Poster Proceedings
T1  - Calibration of depth measurement model for Kinect-type 3D vision sensors
SP  - 61
EP  - 64
UR  - https://hdl.handle.net/21.15107/rcub_dais_717
ER  -

@conference{
author = "Karan, Branko",
year = "2013",
abstract = "Accuracy of depth measurement with Microsoft Kinect and similar 3D vision sensors depends on variations in sensor production. Sensor reading may show significant systematic errors that can be compensated in software by using an adequate depth calibration model. This paper presents one such model and a procedure for identification of its parameters. An example calibration is given to illustrate the procedure and the attained improvements.",
publisher = "Plzen : University of West Bohemia, Plzen, Czech Republic",
journal = "21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2013, Poster Proceedings",
title = "Calibration of depth measurement model for Kinect-type 3D vision sensors",
pages = "61-64",
url = "https://hdl.handle.net/21.15107/rcub_dais_717"
}

Karan, B.. (2013). Calibration of depth measurement model for Kinect-type 3D vision sensors. in 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2013, Poster Proceedings
Plzen : University of West Bohemia, Plzen, Czech Republic., 61-64.
https://hdl.handle.net/21.15107/rcub_dais_717

Karan B. Calibration of depth measurement model for Kinect-type 3D vision sensors. in 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2013, Poster Proceedings. 2013;:61-64.
https://hdl.handle.net/21.15107/rcub_dais_717 .

Karan, Branko, "Calibration of depth measurement model for Kinect-type 3D vision sensors" in 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2013, Poster Proceedings (2013):61-64,
https://hdl.handle.net/21.15107/rcub_dais_717 .