Image measurement technology is widely used in fields such as aviation, aerospace, navigation, and rail transportation, due to its full-field and non-contact characteristics. The camera calibration is necessary in the image measurement process to determine the transformation relationship between two-dimensional images and three-dimensional scenes. The calibration accuracy directly determines the precision of image measurement. To ensure calibration accuracy, the calibration object typically needs to occupy no less than 1/2 of the field of view. However, in some large field-of-view measurement scenarios, the size of the calibration object is limited, failing to meet the field of view occupancy requirement, leading to insufficient camera calibration accuracy. Therefore, it is necessary to study the calibration method for large field-of-view camera imaging parameters to ensure the effective application of image measurement technology in large field-of-view measurement scenarios. This paper experimentally investigated the influence of different object distances on the imaging parameter calibration results and analyzed the mechanism of influence through the lens imaging model. Based on the discussion above, a lens imaging model-constrained large field-of-view camera imaging parameter calibration method was proposed. Experimental results and analysis show that the object distance variation has a significant impact on the equivalent focal length calibration results; under the constraint of the lens imaging model, the calibration method proposed in this paper can obtain high-precision imaging parameter calibration results with only a single calibration object image at a long distance and large field of view after obtaining the initial imaging parameters at a short distance and small field of view, and the requirement for the calibration object's field of view occupancy can be reduced to 1/8.