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Proceedings Paper

Real-time motion artifacts compensation of ToF sensors data on GPU
Author(s): Damien Lefloch; Thomas Hoegg; Andreas Kolb
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Paper Abstract

Over the last decade, ToF sensors attracted many computer vision and graphics researchers. Nevertheless, ToF devices suffer from severe motion artifacts for dynamic scenes as well as low-resolution depth data which strongly justifies the importance of a valid correction. To counterbalance this effect, a pre-processing approach is introduced to greatly improve range image data on dynamic scenes. We first demonstrate the robustness of our approach using simulated data to finally validate our method using sensor range data. Our GPU-based processing pipeline enhances range data reliability in real-time.

Paper Details

Date Published: 17 May 2013
PDF: 7 pages
Proc. SPIE 8738, Three-Dimensional Imaging, Visualization, and Display 2013, 87380U (17 May 2013); doi: 10.1117/12.2018140
Show Author Affiliations
Damien Lefloch, Siegen Univ. (Germany)
Thomas Hoegg, Siegen Univ. (Germany)
Christ-Elektronik GmbH (Germany)
Andreas Kolb, Siegen Univ. (Germany)


Published in SPIE Proceedings Vol. 8738:
Three-Dimensional Imaging, Visualization, and Display 2013
Bahram Javidi; Jung-Young Son, Editor(s)

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