GLS-MIFT：A Modality Invariant Feature Transform with Global-to-Local Searching
Zhongli Fan, Yingdong Pi*, Mi Wang*, Yifei Kang, Kai Tan
Information Fusion 2024
We provide a complete implementation of the GLS-MIFT algorithm, which relies on MATLAB 2021a.
We provide the full multimodal image dataset created in the paper along with their ground truth transformation matrices (1110 image pairs from CV, MD and RS).
Link to dataset: https://pan.baidu.com/s/15rnTO3jTl412P6z30EpFOQ password: ab13
If you find our work and datasets useful for your research, please cite our paper.
@article{fan2024GLS-MIFT,
title={GLS-MIFT：A Modality Invariant Feature Transform with Global-to-Local Searching},
author={Fan, Zhongli and Pi, Yingdong and Wang, Mi and Kang, Yifei and Tan, Kai},
journal={{Information Fusion}},
year={2024}
}
This work is affiliated with State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University.
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