Transactions of Nanjing University of Aeronautics & Astronautics
A Fast Image Matching Algorithm Based on Yolov3
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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.
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Project Supported:
This work was supported by the Foundation of Graduate Innovation Center in Nanjing University of Aeronautics and Astronautics （No.kfjj20191506）.
Clc Number:
TN967.2
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