文档介绍：2020 年 8月 图 学 学 报 August 2020
第 41 卷 第 4 期 Jlete the matching of
feature points based on the improved ORB feature points. The experimental results indicate that the
improved method has a high adaptability to variations in brightness, and both the calculation speed
and extraction accuracy are greatly improved. The total matching time is reduced, the number of
mismatches is less, and the accurate matching rate is increased, which indicates that this improved
method is characterized with accuracy and real-time performance. In addition, the RMSE error
obtained by tracking the feature points acquired at the matching stage is small, which demonstrates a
收稿日期：2020-02-06；定稿日期：2020-03-13
Received：6 February，2020；Finalized：13 March，2020
基金项目：国家重点研发计划重点专项(2018YFB200502)；河南省科技攻关项目(182102110420)
Foundation items：National Key Research and Development Program (2018YFB200502); Key Science and Technology Program of Henan Province
(182102110420)
第一作者：杨弘凡(1994)，男，河南洛阳人，硕士研究生。主要研究方向为计算机视觉。E-mail：******@
First author：YANG Hong-fan (1994), male, master student. His main research interest covers computer vision.
E-mail：******@
万方数据第 4 期 杨弘凡，等：基于改进 ORB 算法的图像特征点提取与匹配方法