A measurement system based on the Scheimpflug principle is designed in this paper to solve the problem of difficulty in clear imaging due to excessively small depth of field in line-structured light close-range photogrammetry. A conversion model from the image coordinate system to the measured object coordinate system is established through the spatial projection relationship. The calibration method of the measurement system under Scheimpflug conditions is investigated and the calibration of the measurement system is completed through nonlinear iterative optimization, and the calibration re-projection error is less than 0.3 pixels. GPU (graphic processing unit) acceleration processing is performed on the center extraction of line-structured light stripe to achieve real-time output at a high frame rate. The processing time for a single 1024 × 1280 image is only 2.14 ms after acceleration. Experimental results showed that the measurement system can realize the three-dimensional measurement of complex shapes and high-reflectivity surfaces with high detection accuracy and output frame rate.

为解决线结构光近景摄影测量中景深过小，难以清晰成像的问题，本文设计了一种基于Scheimpflug原理的测量系统。通过空间投影关系建立图像坐标系到被测物体坐标系的转换模型。研究了Scheimpflug条件下测量系统的标定方法，通过非线性迭代优化完成了测量系统的标定，标定重投影误差小于0.3个像素。对线结构光条的中心提取进行GPU（图形处理单元）加速处理，实现高帧率实时输出。单个 1024 × 1280 图像的处理时间在加速后仅为 2.14 ms。实验结果表明，该测量系统能够实现复杂形状和高反射率表面的三维测量，检测精度高，输出帧率高。