根据红外瞄具零位走动量高精度测试需求，提出了一种基于相机姿态自适应数学模型的红外瞄具零位走动量测量方法。设计了一种相机姿态自适应修正新算法，建立了相机姿态修正模型，并将其应用于零位走动量测量,克服了由于CCD相机倾斜引起零位走动量测量误差的难题。基于图像判读技术，采用重心法对针孔靶及瞄准分划图像进行定位，利用Zernike矩不变性质实现边缘点的亚像素细分。构建了实验系统，经实验验证，测量精度优于0.02 mil(1 mil=0.254 cm)，满足红外瞄具零位走动量的高精度测试需求。

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, solving a problem of zero momentum measuring error caused by camera tilting. The pinhole targets and sighting divide image are 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 0.02 mil (1 mil=0.254 cm) which is verified by experiment. The result meets the high precision testing requirement of infrared sight baseline variation.