Camera calibration is the basis for imaging and computer vision as well as the premise for sensing and vision detection. The camera presents the three-dimensional feature points of space objects in a two-dimensional form on the imaging plane. Each parameter of the camera is determined by the three-dimensional feature points in space and the corresponding two-dimensional image points. This process is called camera calibration, including the calibrations of the internal parameters and the position and pose of the camera in the three-dimensional spatial coordinate system. Based on a brief introduction of the working principle of the area-array camera, this paper summarizes the area-array camera calibration model, calibration methods, rapid calibration methods for large field-of-view cameras, and discusses the latest camera application fields and calibration technologies. Finally, the future research direction of camera calibration is prospected.