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.