条纹投射测量系统深度标定的目的是建立条纹位相和被测物面深度之间的映射关系。标定过程中,不同的数据处理模型和算法对系统最终的测量精度有显著影响。分析比较了标定中几种常用的数据处理方法的特点,包括精确几何模型及其线性化模型,多项式逼近模型,在噪声条件下的误差分布特点,以及节点选择对多项式逼近模型标定精度的影响等。通过数值模拟和实验验证了分析结果的正确性。
In fringe projection measurement system,the purpose of depth calibration is to establish a mapping relationship between fringe phase and object surface depth. In the calibration process,different data processing models and algorithms have significant influence on the measurement accuracy of the system. Focusing on this issue, this paper analyzes and compares the characteristics of several popularly used data processing methods in the calibration, including the error distribution characteristics of precision geometric model and its linearized model as well as polynomial approximation model in the presence of noise, and the impacts of node selection on the calibration precision of polynomial approximation model. Numerical simulation and experiment results verify the correctness of the analytic results.