High-speed 3D Sensing with Three-view Geometry using a Segmented Pattern
We propose a high-speed 3D sensing system that can achieve 1,000-fps acquisition. High-speed vision technology, exceeding video rates (30 Hz), has recently been considered an important technology for various applications, such as robotics, vehicle systems, automatic inspection, man-machine interfaces, sports science, and so on. When object moves at high-speed, low-frame-rate sensing system can't obtain 3D shape and can't use data feedback. Our 1,000-fps sensing enables real-time observation of such motion detail. Furthermore, our system based on the one-shot structured light method, so that this system can obtain 3D shape even if the sensing system and/or the target object moves high-speed and discontinuous. High-speed 3D sensing is achieved by two approaches, including three-viewpoint epipolar constraints and a well-designed segmented pattern. Incorporating the three-view geometry constraints eliminates the need for a given point in the pattern to have a unique feature in a local area compared with the other points when identifying corresponding points in different views. Our proposed pattern has a hierarchical structure which consists of bar and dots. So it is easy to detect and identify at high-speed. In this way, our method achieves high-speed and fine 3D point cloud acquisition with low latency based on hierarchical processing which is enabled by the segmented pattern and the three-view geometric properties.
http://ishikawa-vision.org/vision/Seg...
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