Study of Interference Noise in Multi-Kinect Set-up
Tanwi Mallick, Partha Pratim Das, Arun Kumar Majumdar
2014
Abstract
KinectTM, a low-cost multimedia sensing device, has revolutionized human computer interaction (HCI) by making various applications of human activity tracking affordable and widely available. Often multiple Kinects are used in imaging applications to improve the field of view, depth of field and uni-directional vision of a single Kinect. Unfortunately, multiple Kinects lead to IR Interference Noise (IR Noise, in short) in the depth map. In this paper we analyse the estimators for interference noise, survey various imaging techniques to mitigate the interference at source, and characterize them in parallel to a well-known classification system in telecom industry. Finally we compare their performance from reported literature and outline our on-going research to control interference noise by software shuttering.
References
- Ahmed, N. (2012). A system for 360 acquisition and 3D animation reconstruction using multiple RGBD cameras. URL: http://www.mpi-inf.mpg.de/˜- nahmed/casa2012.pdf. Unpublished article.
- Berger, K., Ruhl, K., Albers, M., Schröder, Y., Scholz, A., Kokemüller, J., Guthe, S., and Magnor, M. (2011a). The capturing of turbulent gas flows using multiple Kinects. In Computer Vision Workshops, IEEE Int'l. Conf. on, pages 1108-1113.
- Berger, K., Ruhl, K., Brmmer, C., Schröder, Y., Scholz, A., and Magnor, M. (2011b). Markerless motion capture using multiple color-depth sensors. In Vision, Modeling and Visualization, Proc. 16th Int'l. Workshop on, pages 317-324.
- Bernhard, T., Chintalapally, A., and Zukowski, D. (2012). A comparative study of structured light and laser range finding devices. URL: http://correll.cs.colorado.edu/wpcontent/uploads/bernhard.pdf. Unpublished article.
- Butler, A., Izadi, S., Hilliges, O., Molyneaux, D., Hodges, S., and Kim, D. (2012). Shake'n'Sense: Reducing interference for overlapping structured light depth cameras. In Human Factors in Computing Systems, Proc. ACM CHI Conf. on, pages 1933-1936.
- Caon, M., Yue, Y., Tscherrig, J., Mugellini, E., and Khaled, O. A. (2011). Context-aware 3D gesture interaction based on multiple Kinects. In Ambient Computing, Applications, Services and Technologies, Proc. AMBIENT First Int'l. Conf. on, pages 7-12.
- Faion, F., Friedberger, S., Zea, A., and Hanebeck, U. D. (2012). Intelligent sensor-scheduling for multiKinect-tracking. In Intelligent Robots and Systems (IROS), IEEE/RSJ Int'l. Conf. on, pages 3993-3999.
- Kainz, B., Hauswiesner, S., Reitmayr, G., Steinberger, M., Grasset, R., Gruber, L., Veas, E., Kalkofen, D., Seichter, H., and Schmalstieg, D. (2012). OmniKinect: Real-time dense volumetric data acquisition and applications. In Virtual reality software and technology, Proc. VRST'12: 18th ACM symposium on, pages 25- 32.
- Kinect Windows Team (2012). Inside the newest Kinect for Windows SDK: Infrared control. URL as accessed on 04-Jun-2013: http://blogs.msdn.com/b/kinectforwindows/archive/2012/12/07/inside-the-newestkinect-for-windows-sdk-infrared-control.aspx.
- Kramer, J., Burrus, N., Echtler, F., C., D. H., and Parker, M. (2012). Hacking the Kinect. Apress.
- Maimone, A. and Fuchs, H. (2011). Encumbrance-free telepresence system with real-time 3D capture and display using commodity depth cameras. In Mixed and Augmented Reality, Proc. ISMAR IEEE 10th Int'l. Symposium on, pages 137-146.
- Maimone, A. and Fuchs, H. (2012). Reducing interference between multiple structured light depth sensors using motion. In Virtual Reality, Proc. IEEE Conf. on, pages 51-54.
- Schröder, Y., Scholz, A., Berger, K., Ruhl, K., Guthe, S., and Magnor, M. (2011). Multiple Kinect studies. Technical Report 09-15, ICG.
- Tong, J., Zhou, J., Liu, L., Pan, Z., and Yan, H. (2012). Scanning 3D full human bodies using Kinects. Visualization and Computer Graphics, IEEE Transactions on, 18:643-650.
- Zelnik-Manor, L. (2012). Working with multiple Kinects. URL: http://webee.technion.ac.il/˜lihi/Teaching/- 2012 winter 048921/PPT/Roy.pdf. Presented by Roy Or El in Advanced Topics in Computer Vision (048921) course by the author.
Paper Citation
in Harvard Style
Mallick T., Das P. and Majumdar A. (2014). Study of Interference Noise in Multi-Kinect Set-up . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 173-178. DOI: 10.5220/0004736401730178
in Bibtex Style
@conference{visapp14,
author={Tanwi Mallick and Partha Pratim Das and Arun Kumar Majumdar},
title={Study of Interference Noise in Multi-Kinect Set-up},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={173-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004736401730178},
isbn={978-989-758-003-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Study of Interference Noise in Multi-Kinect Set-up
SN - 978-989-758-003-1
AU - Mallick T.
AU - Das P.
AU - Majumdar A.
PY - 2014
SP - 173
EP - 178
DO - 10.5220/0004736401730178