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MIVI: multi-stage feature matching for infrared and visible image

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Abstract

The matching of infrared and visible images has a wide range of applications across various fields. However, the large difference between these two types of images poses a significant challenge to achieving accurate feature matching. In this paper, we introduce a novel feature matching method for infrared and visible images, named MIVI. Our proposed multi-stage matching architecture enables the model to capture both fine local feature details and remote dependencies, while our novel composite loss function optimizes the model at each stage and significantly improves the matching accuracy. Qualitative and quantitative experiments demonstrate that MIVI outperforms other excellent algorithms in terms of accuracy. The code will be released at: https://github.com/LiaoYun0x0/MIVI.

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Data availability

The datasets analysed during the current study are available from the following public domain resources: https://mediatum.ub.tum.de/1474000; http://matthewalunbrown.com/nirscene/nirscene.html;

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Acknowledgements

This work is supported by a grant from the Social and Science Foundation of Liaoning Province (No. L20BTQ008), in part by the National Natural Science Foundation of China under Grant 61976124 and in part by the Scientific Research Fund of Yunnan Provincial Education Department under Grant 2021J0007.

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  1. Yide Di and Yun Liao contributed equally to this work.

Authors and Affiliations

  1. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning Province, China

    Yide Di, Yijia Zhang & Mingyu Lu

  2. National Pilot School of Software, Yunnan University, Kunming, Yunnan Province, China

    Yun Liao, Qing Duan & Junhui Liu

  3. Yunnan Lanyi Network Technology Co, Kunming, Yunnan Province, China

    Yide Di, Yun Liao, Kaijun Zhu & Hao Zhou

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Di, Y., Liao, Y., Zhu, K. et al. MIVI: multi-stage feature matching for infrared and visible image. Vis Comput 40, 1839–1851 (2024). https://doi.org/10.1007/s00371-023-02889-9

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