目的 探究数字图像相关方法(Digital Image Correlation, DIC)对大变形测量问题的研究现状，为相关领域展开深入研究提供参考。方法 通过对增量相关、初值估计和形函数等方面的改进梳理，总结研究人员关于DIC方法在大变形测量问题的研究进展。结果 现有的DIC方法研究大变形测量问题，主要通过增量方法以及结合特征检测的初值估计方法，极大地消除了去相关效应，同时对形函数的选择和结合深度学习等技术也增强了DIC方法对复杂变形的适用性。结论 尽管面向大变形测量的DIC方法面临着诸多挑战，但DIC方法仍然是极具潜力的大变形测量技术之一，DIC方法在大变形测量中将发挥更重要的作用。

The work aims to study the research status of Digital Image Correlation (DIC) for large deformation measurement and provide references for in-depth research in related fields. Through improved combing of incremental correlation, initial value estimation and form function, the research progress of the DIC method in large deformation measurement was summarized. The current DIC method used for large deformation measurements greatly eliminated the de-correlation effect through the increment method and the initial value estimation method combined with feature detection. At the same time, the choice of shape functions and the combination of deep learning techniques also enhanced the applicability of the DIC method to complex deformations. Despite the many challenges in large deformation measurement, the DIC method is still one of the most promising techniques for large deformation measurement, and it will play a more vital role in large deformation measurement.