Probabilistic phase unwrapping for time-of-flight cameras

Joint 41st International Symposium on Robotics and 6th German Conference on Robotics 2010, ISR/ROBOTIK 2010

Volumn 1, Issue , 2010, Pages 318-324

  Droeschel, David ^a   Holz, Dirk ^a   Behnke, Sven ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AMPLITUDE-MODULATED; DISTANCE AMBIGUITY; LOOPY BELIEF PROPAGATION; MODULATION FREQUENCIES; NEAR INFRARED LIGHT; PROBABILISTIC GRAPHICAL MODELS; TIME OF FLIGHT (TOF) CAMERAS; TIME-OF-FLIGHT CAMERAS;

CAMERAS; PHASE SHIFT; PHASE SHIFTERS;

ROBOTICS;

EID: 78651476757     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. S. May, D. Droeschel, D. Holz, S. Fuchs, E. Malis, A. Nüchter, and J. Hertzberg. Three-dimensional mapping with time-of-flight cameras. Journal of Field Robotics, Special Issue on Three-Dimensional Mapping, Part 2, 26(11-12):934-965, December 2009.
2. D. C. Ghiglia and M. D. Pritt. Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software. Wiley-Interscience, 1998.
3. Z. Liang and P. Lauterbur. Principles of Magnetic Resonance Imaging (A Signal Processing Perspective). IEEE Press, 1999.
4. P. Thompson, D. E.Wahl, P. H. Eichel, D. C. Ghiglia, and C. V. Jakowatz. Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach. Kluwer Academic Publishers, Norwell, MA, USA, 1996.
5. B. J. Frey, R. Koetter, and N. Petrovic. Very loopy belief propagation for unwrapping phase images. In Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic (NIPS), pages 737-743, Vancouver, British Columbia, Canada, 2001.
6. J. W. Weingarten, G. Grüner, and R. Siegwart. A State-of- the-Art 3D Sensor for Robot Navigation. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 2155- 2160, Sendai, Japan, 2004.
7. R. Sheh, M. W. Kadous, and C. Sammut. On building 3d maps using a range camera: Applications to rescue robotics. Technical report, University of New SouthWales, Sydney, Australia, 2006.
8. K. Ohno, T. Nomura, and S. Tadokoro. Real-time robot trajectory estimation and 3d map construction using 3d camera. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 5279-5285, Bejing, China, 2006.
9. R. Lange. 3D time-of-flight distance measurement with custom solid-state image sensors in CMOS/CCD-technology. PhD thesis, University of Siegen, 2000.
10. S. Fuchs and G. Hirzinger. Extrinsic and Depth Calibration of ToF-Cameras. In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, USA, 2008.
11. M. Lindner, A. Kolb, and T. Ringbeck. New Insights into the Calibration of TOF Sensors. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on ToF Camera based Computer Vision (TOF-CV), Anchorage, AK, USA, 2008.
12. M. Böhme, M. Haker, T. Martinetz, and E. Barth. Shading Constraint Improves Accuracy of Time-of- Flight Measurements. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on ToF Camera based Computer Vision (TOF-CV), Anchorage, AK, USA, 2008.
13. Mesa Imaging AG. Swissranger tof cameras. http://www.mesa-imaging.ch.