Aiming at the problem that feature matching algorithms,such as moving grid statistics (GMS),have concentrated mismatching,and the matching fails due to too few matching points when the viewpoint changes greatly,a feature matching algorithm using improved GMS algorithm combined with RANSAC to calculate homography matrix is proposed.Firstly,the original GMS algorithm grid is assigned weights,and the variable threshold is improved to obtain enough matching points.The matching point set obtained by the improved GMS algorithm uses RANSAC to fit the homography matrix,and the Brute Force Matching(BFM) set is finely selected to generate the final matching point set.Experiments on public feature matching datasets show that the matching precision and recall are improved by 22.69% and 18.58% respectively,and the algorithm is more suitable for scenes with large viewpoint changing.