The full-field and non-contact measurement of three-dimensional motion and deformation of high-speed rotating machinery is a very challenging task in the engineering field. Two issues, the cost of high-speed camera and the decorrelation between rotated images, are hard to avoid for investigators. In this paper, a systematic solution is presented, which combines high-speed rotation image acquisition using low-speed camera with 3D digital image correlation, both low-cost, flexible and accurate. Firstly, the frequency and initial phase of high-speed rotation are calculated by FFT, and temporal phase-locked signal is generated to trigger the dual-camera asynchronously to collect the circumferential images with equal phase interval. Then a layer-by-layer matching method is proposed to search uncoded targets between two rotated images, while a binocular rotation correlating strategy to correlate the speckle subsets. Finally, the corresponded uncoded targets and speckle subsets are reconstructed in three dimension via the camera calibration results, furtherly the 3D motion and deformation fields can be obtained. Five experiments, including two measurement repeatability tests, an accuracy test, a rigid motion measurement of rotating table and a dynamic deformation measurement of ventilation fan, prove the accuracy and effectiveness of the proposed method.

高速旋转机械三维运动和变形的全场非接触测量是工程领域极具挑战性的任务。两个问题，高速相机的成本和旋转图像之间的去相关性，对于调查人员来说是难以避免的。本文提出了一种系统的解决方案，将使用低速相机的高速旋转图像采集与3D数字图像相关相结合，既低成本又灵活准确。首先通过FFT计算高速旋转的频率和初始相位，产生时间锁相信号，异步触发双摄像头采集等相位间隔的圆周图像。然后提出了一种逐层匹配的方法在两个旋转图像之间搜索未编码的目标，而双目旋转相关策略来关联散斑子集。最后，通过相机标定结果在三维重建对应的未编码目标和散斑子集，进一步获得3D运动和变形场。包括两次测量重复性测试、一次精度测试、一次转台刚性运动测量和一次换气扇动态变形测量在内的五个实验证明了该方法的准确性和有效性。