增强现实是把计算机产生的虚拟物体或其他信息合成到用户看到的真实世界中的一种技术.实现虚拟信息与真实景象的正确匹配或有机结合是每个增强现实实用系统都必须完成的一项重要任务，且它的具体实现需依赖于计算机硬件和软件系统的相互配合及协调.为了有效地降低增强现实应用系统中的虚实注册误差，在对基于位置跟踪和相机定标技术的传统虚实注册技术进行分析的基础上，首先研究了仿射变换技术理论在增强现实中的应用，并提出了在全局仿射坐标系下，获取像素相对深度参数的一种策略 ;然后在对 AR中的虚实注册问题进行研究分析的基础上，进一步讨论了图象分析技术在虚实注册问题中的应用问题，并提出了一种基于数值背景表达的快速虚实注册策略，以提高虚实注册过程中，场景特征点提取的精度和速度 ;最后还分别用该仿射理论进行了动态和静态的虚实注册实验，实验结果表明，该方法能有效地降低增强现实应用系统的虚实注册误差.

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.