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
TY - CONF
AU - Karan, Branko
PY - 2013
UR - https://dais.sanu.ac.rs/123456789/718
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_718
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_718"
}
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_718
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_718 .
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_718 .
