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According to the high precision testing requirements on aiming at the baseline variation of infrared sight, a measuring method of infrared sight zero momentum based on camera pose adaptive mathematical model is proposed. A new adaptive algorithm of camera pose is designed. A camera pose correction model is established, which is applied to zero momentum measuring system firstly, and a problem of zero momentum measuring error caused by camera tilting is solved. The pinhole targets and sighting divide image is located by gravity method, and sub-pixel subdivision of edge points is achieved by Zernike orthogonal moments. An experimental system is constructed; the measurement accuracy is superior to 0.02mil which is verified by experiment, which meets the high pr ecision testing requirement of infrared sight baseline variation.

Infrared Sights Zero Momentum Measurement Technology based on Camera Adaptive Algorithm