基于SURF与光流法的增强现实跟踪注册

提出一种基于SURF与光流法相结合的增强现实局部跟踪注册方法。采用光流法对移动对象区域进行跟踪，利用SURF算法仿射、尺度不变性及运算速度快的优点对该区域进行特征提取与匹配，利用相邻帧之间特征点的匹配关系求得三维注册矩阵，在保持注册精确性的同时降低了系统运算时间。实验结果表明该方法达到了实时跟踪与准确注册的效果，并且在环境变化时保持了较好的鲁棒性。

Tracking and AR registration based on SURF and optical flow method

A tracking and registration method based on SURF and optical flow in the AR is proposed. The moving object region is tracked by the optical flow method. This paper extracts and matches the features of the region with SURF because the algorithm maintains advantages of affine invariance, scale invariance and fast computing speed. The final registration matrix is calculated using the homographies between adjacent frames. This method reduces the computational time deeply while the accuracy of the registration unchanges. Convinced by experimental results, this approach can work at almost real time and achieves accurate registration, and can keep a good robustness in some environment changes.