一种基于改进SLAM的增强现实跟踪注册方法

An Augmented Reality Tracking Registration Method Based on Improved SLAM

针对传统基于标志物的增强现实跟踪注册方法的使用场景限制问题,提出改进的ORB-SLAM系统。论文采用SURF-ORB算法,对环境特征点进行提取匹配,构建真实环境的地图库,对运动物体进行定位。使用改进后的方法,提高了特征点检测和匹配的速度以及定位跟踪的稳定性。

An improved ORB-SLAM system is proposed to overcome the problem of the use of traditional marker-based re?al-time tracking method.In this paper,a SURF-ORB algorithm is proposed to extract and match the environmental feature points,a map library of real environment is constructed,and the moving objects are located.Using the improved method,the speed of fea?ture detection and matching and the stability of positioning and tracking are improved.