Reducing interference between multiple structured light depth sensors using motion

Proceedings - IEEE Virtual Reality

Volumn , Issue , 2012, Pages 51-54

  Maimone, Andrew ^a   Fuchs, Henry ^a  

^a University of North Carolina   (United States)

Author keywords

input devices; motion; sharpening and deblurring

Indexed keywords

CAPTURE SYSTEM; COLOR IMAGES; DEBLURRING; DEPTH MAP; DEPTH SENSORS; FREQUENCY PATTERNS; INPUT DEVICES; MICROSOFT; MISSING DATA; MOTION; POST PROCESSING; PROJECTED PATTERNS; SIDE EFFECT; STRUCTURED LIGHT;

INTERFERENCE SUPPRESSION; VIRTUAL REALITY;

SENSORS;

EID: 84860744048     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VR.2012.6180879     Document Type: Conference Paper

References (6)

1. K. Berger, K. Ruhl, C. Brümmer, Y. Schröder, A. Scholz, and M. Magnor. Markerless motion capture using multiple color-depth sensors. In Proc. Vision, Modeling and Visualization (VMV), 2011.
2. B. Freedman, A. Shpunt, M. Machline, and Y. Arieli. Depth mapping using projected patterns. Patent Application, 05 2010. US 2010/0118123 A1.
3. N. Joshi, S. B. Kang, C. L. Zitnick, and R. Szeliski. Image deblurring using inertial measurement sensors. In ACM SIGGRAPH 2010 papers, SIGGRAPH '10, pages 30:1-30:9, New York, NY, USA, 2010. ACM.
4. C. Kuster, T. Popa, C. Zach, C. Gotsman, and M. Gross. Freecam: A hybrid camera system for interactive free-viewpoint video. In Proceedings of Vision, Modeling, and Visualization (VMV), 2011.
5. A. Maimone and H. Fuchs. Encumbrance-free telepresence system with real-time 3d capture and display using commodity depth cameras. In Mixed and Augmented Reality (ISMAR), 2011 10th IEEE International Symposium on, pages 137 -146, oct. 2011.
6. W. H. Richardson. Bayesian-based iterative method of image restoration. J. Opt. Soc. Am., 62(1):55-59, Jan 1972.