南京航空航天大学学报（英文版）2021，Vol.38Issue(5)：807-815,9.
基于Yolov3神经网络的快速图像精匹配算法
A Fast Image Matching Algorithm Based on Yolov3
摘要
Abstract
In view of the fact that the traditional Hausdorff image matching algorithm is very sensitive to the image size as well as the unsatisfactory real-time performance in practical applications,an image matching algorithm is proposed based on the combination of Yolov3. Firstly,the features of the reference image are selected for pre-training,and then the training results are used to extract the features of the real images before the coordinates of the center points of the feature area are used to complete the coarse matching. Finally,the Hausdorff algorithm is used to complete the fine image matching. Experiments show that the proposed algorithm significantly improves the speed and accuracy of image matching. Also,it is robust to rotation changes.关键词
Yolov3/图像匹配/Huasdorff/二级匹配Key words
Yolov3/image matching/Huasdorff/two-stage matching分类
信息技术与安全科学引用本文复制引用
刘瑞,冷雪飞,刘杨..基于Yolov3神经网络的快速图像精匹配算法[J].南京航空航天大学学报（英文版）,2021,38(5):807-815,9.基金项目
This work was supported by the Foun?dation of Graduate Innovation Center in Nanjing University of Aeronautics and Astronautics(No.kfjj20191506). （No.kfjj20191506）
