Paper
17 May 2013 Real-time motion artifacts compensation of ToF sensors data on GPU
Damien Lefloch, Thomas Hoegg, Andreas Kolb
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Damien Lefloch, Thomas Hoegg, and Andreas Kolb "Real-time motion artifacts compensation of ToF sensors data on GPU", Proc. SPIE 8738, Three-Dimensional Imaging, Visualization, and Display 2013, 87380U (17 May 2013); https://doi.org/10.1117/12.2018140
Lens.org Logo
CITATIONS
Cited by 10 scholarly publications and 3 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Cameras

Motion models

Correlation function

Phase shifts

Time of flight cameras

Data modeling

Back to Top