Calibration of depth measurement model for Kinect-type 3D vision sensors
Apstrakt
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.
Ključne reči:
Microsoft Kinect sensor / 3D sensing / depth camera / RGB-D camera / camera calibrationIzvor:
21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2013, Poster Proceedings, 2013, 61-64Izdavač:
- Plzen : University of West Bohemia, Plzen, Czech Republic
Finansiranje / projekti:
- Istraživanje i razvoj ambijentalno inteligentnih servisnih robota antropomorfnih karakteristika (RS-MESTD-Technological Development (TD or TR)-35003)
- Razvoj robota kao sredstva za pomoć u prevazilaženju teškoća u razvoju dece (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-44008)
Napomena:
- 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
Institucija/grupa
Институт техничких наука САНУ / Institute of Technical Sciences of SASATY - 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 .