基于局部特征描述的目标定位

Location of Object Based on Local Feature Descriptor

针对SURF不能满足实时性、BRISK匹配率低的特点,本文采用SURF检测关键点与BRISK计算描述子相结合的方法,提出一种新的特征描述方法 SURF-BRISK。本文首先通过SURF-BRISK描述方法进行特征匹配,然后通过RANSAC去除误匹配,最后通过正确的匹配点对计算仿射变换的6个参数并进行目标定位。实验表明,SURF-BRISK特征描述方法不仅具有实时性和鲁棒性,而且在目标定位中取得了较好的结果。

The existing local feature descriptors, such as SURF and BRISK, either cannot meet the real-time or have poor performance, so the paper presents a novel descriptor SURF-BRISK. The descriptor detects the Key-points by SURF and computes the descriptor by BRISK. Firstly, our method is used to do feature matching. Then RANSAC robust estimation is performed to eliminate the wrong matched points. Finally, location of object is based on the affine transform＇s six parameters which are calculated by the correct matches. Experiments show that SURF-BRISK feature descriptor is not only real-time and robustness, but also achieves good results in object location