Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. One of the most important tasks for every augmented reality application is to make the virtual scene and real scene merged correctly and become an organic whole. The implementation lies heavily on the cooperation between augmented reality hardware and software technology. Based on the analysis of traditional virtual-real registration technology which lies heavily on position tracking and camera calibration

we investigate the application of affine representations in augmented reality

and put forward a new method to get the relative depth of each rendered point. By studying the application of image analysis technology in AR technology

a numerical background expression method is put forward to facilitate the feature point extraction in the virtual-real registration process. We have performed both dynamic and static virtual-real registration experimentation using affine theory. The experiment results indicate that this method can effectively reduce virtual-real registration errors in applications of augmented reality.