Abstract: Aiming at the problems of rapidity and accuracy in the registration process of scenes with non-saliency features such as desert and Gobi， this paper proposes a non-saliency feature image registration method based on local overlapping region. Firstly，the image to be registered is preprocessed by using the image mark to enhance its features， then the overlapping area of multiple images to be registered is budgeted through multi camera three-dimensional projection， and the overlapping area is segmented by using the image mask and the image segmentation technology. Finally， the overlapping area is registered by ORB+GMS（Oriented Brief-Grid-based Motion Statistics for Fast）fusion algorithm to complete the registration of multiple images. The registration based on the image overlapping region avoids the disadvantage of low accuracy in the overall registration of images with non-saliency features. Due to the local registration， it has a faster registration speed than the global registration. Compared the traditional registration method with the improved registration method proposed in this paper， the experimental results show that the registration accuracy of the improved method proposed in this paper is improved by 28% on the basis of the traditional registration method. The algorithm has higher robustness and real-time performance.

Key words: feature matching, non-saliency features, image markers, ORB+GMS fusion algorithm