HOMO-Feature: Cross-Arbitrary-Modal Image Matching with Homomorphism of Organized Major Orientation

May 27, 2026 · View on GitHub

Paper Link: https://ieeexplore.ieee.org/document/11443590

** Now this image matching algorithm is an old-fashioned one, and we highly recommend checking our new method: HIMO, which is now available at https://github.com/MrPingQi/HIMO_ImgMatching.


📈 Matching Performance

A new image matching method of traditional handcrafted framework with the following effects: (2024.09.10)

One-stage Two-stage

Multi-camera


📰 Presentation Poster

https://iccv.thecvf.com/virtual/2025/poster/871

📦 Datasets Release

*** GCZ dataset ***

Google Drive: https://drive.google.com/drive/folders/1yZo3ZPxVuUrHbXJwNKEMEuBSVmOVihzM?usp=sharing

Baidu Netdisk: https://pan.baidu.com/s/10d-xgjO15qu9sjRZVanJAQ?pwd=dgcz


*** Revised MRSI[1-2] dataset labels ***

Google Drive: https://drive.google.com/file/d/1joFkfeCJnGtkL9zZp2FSR0ZTr0wBP5zj/view?usp=sharing

Baidu Netdisk: https://pan.baidu.com/s/1LwqD7OBxQDFpxatWIO56Rw?pwd=mrsi


[1] J. Li, Q. Hu, and M. Ai, “RIFT: Multi-modal image matching based on radiation-variation insensitive feature transform,” IEEE Transactions on Image Processing, vol. 29, pp. 3296–3310, 2019.

[2] Y. Yao, Y. Zhang, Y. Wan, X. Liu, X. Yan, and J. Li, “Multi-modal remote sensing image matching considering co-occurrence filter,” IEEE Transactions on Image Processing, vol. 31, pp. 2584–2597, 2022.


📚 Citation

If you find our work useful in your research, please consider citing:

@inproceedings{gao2025homo,
  title={{HOMO-Feature}: Cross-Arbitrary-Modal Image Matching with Homomorphism of Organized Major Orientation},
  author={Gao, Chenzhong and Li, Wei and Weng, Desheng},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={10538--10548},
  year={2025}
}