Calibration of Depth Camera Arrays

Razmik Avetisyan
Visual Computing Lab, University of Rostock, Germany

Malte Willert
Visual Computing Lab, University of Rostock, Germany

Stephan Ohl
Visual Computing Lab, University of Rostock, Germany

Oliver Staadt
Visual Computing Lab, University of Rostock, Germany

Ladda ner artikel

Ingår i: Proceedings of SIGRAD 2014, Visual Computing, June 12-13, 2014, Göteborg, Sweden

Linköping Electronic Conference Proceedings 106:6, s. 41-48

Visa mer +

Publicerad: 2014-10-30

ISBN: 978-91-7519-212-3

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


Depth cameras are increasingly used for tasks such as 3-D reconstruction, user pose estimation, and humancomputer interaction. Depth-camera systems comprising multiple depth sensors require careful calibration. In addition to conventional 2-D camera calibration, depth correction for each individual device is necessary. In this paper, we present a new way of solving the multi depth-camera calibration problem. Our main contribution is a novel depth correction approach which supports the generation of a 3-D lookup table by incorporating an optical marker-based tracking system. We verify our approach for the Microsoft Kinect and for the MESA Swiss-Ranger4000 time-of-flight camera.


Inga nyckelord är tillgängliga


[AMM12] AUVINET E., MEUNIER J., MULTON F.: Multiple depth cameras calibration and body volume reconstruction for gait analysis. In Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on (2012), pp. 478–483. 2

[AZD13] ALEXIADIS D., ZARPALAS D., DARAS P.: Real-time, full 3-d reconstruction of moving foreground objects from multiple consumer depth cameras. Multimedia, IEEE Transactions on 15, 2 (2013), 339–358. 2

[BKKF13] BECK S., KUNERT A., KULIK A., FROEHLICH B.: Immersive group-to-group telepresence. Visualization and Computer Graphics, IEEE Transactions on 19, 4 (2013), 616–625. 1, 2, 6

[HCKH12] HERRERA C. D., KANNALA J., HEIKKILÃ Ď J.: Joint depth and color camera calibration with distortion correction. Pattern Analysis and Machine ntelligence, IEEE Transactions on 34, 10 (2012), 2058–2064. 2

[Kre13] KREYLOS O.: Kinect camera calibration, 2013. http://www.doc-ok.org/?p=289. 2

[LFZL12] LIU W., FAN Y., ZHONG Z., LEI T.: A new method for calibrating depth and color camera pair based on kinect. In Audio, Language and Image Processing (ICALIP), 2012 International Conference on (2012), pp. 212–217. 2

[MBPF12] MAIMONE A., BIDWELL J., PENG K., FUCHS H.: Enhanced personal autostereoscopic telepresence system using commodity depth cameras. Computers and Graphics, Volume 36 Issue 7, November, 2012, Pages 791-807 36, 7 (2012), 791–807. 1, 2, 6

[MCAPL13] MACKNOJIA R., CHAVEZ-ARAGON A., PAYEUR P., LAGANIERE R.: Calibration of a network of kinect sensors for robotic inspection over a large workspace. In Robot Vision (WORV), 2013 IEEE Workshop on (2013), pp. 184–190. 1, 2, 5

[SSBH11] STÜRMER M., SEILER C., BECKER G., HORNEGGER J.: Alignment of multiple Time-of-Flight 3D Cameras for Reconstruction of walking feet. In ISB2011 Brussels, Conference book Program & Abstracts (2011). 1, 2

[Wen12] WENDELIN K.-A.: Combining Multiple Depth Cameras for Reconstruction. Master’s thesis, Institut für Softwaretechnik und Interaktive Systeme, Technische UniversitaÌ´Lt Wien, 2012. 2

[Zha00] ZHANG Z.: A flexible new technique for camera calibration. Pattern Analysis and Machine Intelligence, IEEE Transactions on 22, 11 (Nov 2000), 1330–1334. 2

Citeringar i Crossref