Matching optimization based on KLT algorithm in natural feature tracking of augmented reality
Matching optimization based on KLT algorithm in natural feature tracking of augmented reality
复制标题
增强现实自然特征跟踪中基于KLT算法的匹配优化
DOI：
10.1145/2407516.2407585
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Yunfeng Hu
中科院分区：
文献类型：
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作者：
Gaoqi He;Lipeng Zhang;Wenhui Yue;J. Ni;Yunfeng Hu
注册是增强现实系统中最困难的问题之一。本文提出了一种消除不匹配点的优化方法。该方法基于KLT跟踪，采用Fast算法提取自然特征。基于相机捕捉到的连续帧之间的微小变化，给出了数学验证。本文实现了一个AR阅读系统，并利用SURF算法作为页面识别过程。在页面识别过程中可以计算相机的初始姿态。实验表明，所提出的优化方法提高了配准的鲁棒性，减小了重投影误差。
Registration is one of the most difficult problems in augmented reality systems. One optimized method is proposed in this paper to remove the mismatched points. This method is based on the KLT tracking and uses the Fast algorithm to extract the natural feature. Math verification is given based on the small changes between the continuous frames captured by camera. An AR Reading system is achieved in this paper and SURF algorithm is exploited as page recognition process. The initial camera pose could be calculated in page recognition process. Experiments show that the optimization presented could improve the robustness of the registration and decrease the re-projection error.