Research on image feature point extraction and matching algorithm based on Key.Net

Qihang Long; Yin Wang; Dongjie Wang

doi:10.1117/12.2689651

10 August 2023 Research on image feature point extraction and matching algorithm based on Key.Net

Qihang Long, Yin Wang, Dongjie Wang

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127480K (2023) https://doi.org/10.1117/12.2689651
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

Image feature point extraction and matching are important branches in the field of computer vision. Based on the extracted image feature points, the image descriptor is calculated, and the matching information between two images is generated using the image descriptor. The relative position relationship between the two images is then recovered using homography transformation, which is the basis of monocular visual odometry. In this study, the Key.Net method is used to extract image feature points, and SIFT and SURF methods are used to calculate feature point descriptors. The images are matched using a brute-force matching method, and the relative position relationship between the two frames is solved. Multiple image feature point extraction and descriptor calculation methods are compared on the KITTI dataset using the distance information between two frames as the error benchmark. The proposed method has the lowest total error and the best performance, and it has good robustness, laying a foundation for visual navigation algorithms.

Citation Download Citation

Qihang Long, Yin Wang, and Dongjie Wang "Research on image feature point extraction and matching algorithm based on Key.Net", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127480K (10 August 2023); https://doi.org/10.1117/12.2689651

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KEYWORDS

Feature extraction

Visualization

Cameras

Image restoration

Windows

Wavelets

Histograms

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