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In recent years, with CCD (or CMOS) image sensor as the core components, digital cameras turns into a new generation cameras. Compared with ordinary cameras, digital cameras have a distinct advantage: achieving digital information collection, image processing conveniently, and have been widely used in many fields presently. However, when people using ordinary digital camera doing research, few consider the error of the target image caused by digital camera distortion, digital camera is the important equipment to obtain digital image data, and its camera distortion should attract users attention. To ensure the quality of its results to meet the precision of the measurement tasks, the calibration of each parameter will be an important task. Commonly used camera calibration method including: spatial resection, direct linear transformation, analytical plumb line and self calibration. In this paper we use space resection, obtain calibration images through the establishment of mathematical model calibration, locate the accurate position of pixels and obtain accurate calibration parameters. Getting conclusion by authentication example, provide basic guarantees for the follow-up of Digital close-range photogrammetry and 3D modeling.