Time-of-Flight Depth Camera Motion Blur Detection and Deblurring

Recently, many consumer time-of-flight depth cameras have been introduced that provide direct 3-D geometry measurement of real world objects in real-time. However, these cameras suffer from motion blur artifact when there is any movement of camera or target object in the scene causing serious geometry measurement distortions. Unlike other noises, depth camera motion blur is difficult to eliminate using any existing image processing method due to the unique principle of time-of-flight depth calculation. In this letter, we propose a novel depth motion blur detection and deblurring method that can be applied for any ToF depth sensor. Our method utilizes the relations between different phase offsets observed at multiple time slots in ToF sensor. Experimental results show that the proposed method successfully detects motion blur regions and accurately eliminates them with minimal computational cost in real time.