Infrared Sights Zero Momentum Measurement Technology based on Camera Adaptive Algorithm

摘要

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 precision testing requirement of infrared sight baseline variation.