Real-time augmented reality based on ORB
基于ORB自然特征的AR实时系统实现

Now augmented reality based on natural features is not efficient. This paper proposed a new method of real-time AR registration based on ORB features. First it extracted ORB natural features from video frames and a reference image, Selected matching features using appropriate Hamming distance and RANSAC algorithm. Then it calculated and determined the camera posed. Finally, superimpose the computer-generated three-dimensional virtual objects on the real-life scene to achieve combination of virtual and real. Experiments show that, in the case of different scales, different angles, some changes in ambient light, complex backgrounds or part of the reference image blocked, the AR system performs well to track and position accurately. And the processing speed of the system approximately meets the requirement of real-time system.