Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

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Accurate and Robust Image Matching Method Based on an Improved FAST Algorithm

Authors
Xuanwen Pan1, *
1School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China
*Corresponding author. Email: 1120202720@bit.edu.cn
Corresponding Author
Xuanwen Pan
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-370-2_28How to use a DOI?
Keywords
corner detection; image matching; FAST algorithm
Abstract

Image matching holds fundamental significance in varieties of applications in CV (computer vision)., demanding methods that strike a balance between speed and robustness. This paper introduces an image matching approach built upon an improved version of the FAST (Features from Accelerated Segment Test) algorithm. The primary objective is to enhance both the accuracy and robustness of image matching processes. The algorithm incorporates targeted modifications to the FAST algorithm, addressing its limitations while preserving its efficiency. In this improved algorithm, it introduces a two-layer adaptive threshold mechanism. The most suitable threshold is employed to detect optimal feature points, ensuring adaptive adjustments in different grayscale regions according to the current situation. Based on this algorithm, the accuracy of the image matching process has been improved. Moreover, the robustness of the image matching based on the improved algorithm performs better than the original FAST algorithm. The findings open new avenues for applications requiring real-time and accurate image matching techniques.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
Series
Advances in Intelligent Systems Research
Publication Date
14 February 2024
ISBN
978-94-6463-370-2
ISSN
1951-6851
DOI
10.2991/978-94-6463-370-2_28How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xuanwen Pan
PY  - 2024
DA  - 2024/02/14
TI  - Accurate and Robust Image Matching Method Based on an Improved FAST Algorithm
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 251
EP  - 259
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_28
DO  - 10.2991/978-94-6463-370-2_28
ID  - Pan2024
ER  -