Dynamic three-dimensional surface measurement based on line-scan cameras has been developing gradually. Line-scan cameras have the advantage of high resolution and a high line rate. In this article, a measurement system based on triple line-scan cameras is presented. The measurement model is established considering the asynchronous acquisition of the same point. The point cloud optimization algorithm helps to minimize the error caused by six-degree-of-freedom vibration. Theoretical analysis reveals that the resolution of the method is approximately 0.07 mm, and the measurement uncertainty is about 0.025 mm. Experiments demonstrated the feasibility of the method.
With outstanding features of high resolution and high acquisition rate, line-scan imaging holds great potentials for high-speed applications. This paper presents a stereo line-scan system for 3D shape measurement of fast moving objects. The principle and key technologies are addressed. The system setup and 3D imaging model are introduced first and the stereo matching scheme and calibration approach are described subsequently. The system is verified by experiments. The results demonstrate the validity and accuracy of the proposed system.
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