Real-Time Motion Artifacts Compensation of ToF Sensors Data on GPU

被引:3
|
作者
Lefloch, Damien [1 ]
Hoegg, Thomas [1 ]
Kolb, Andreas [1 ]
机构
[1] Univ Siegen, Chair Comp Graph & Multimedia Syst, D-57076 Siegen, Germany
关键词
Time-of-Flight Cameras; Motion; Depth; Optical Flow;
D O I
10.1117/12.2018140
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
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.
引用
收藏
页数:7
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