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<h1 align = "center"> OBJ-GSP </h1> <p align="center"> <a href="https://arxiv.org/abs/2402.12677"> <img alt="Paper" src="http://img.shields.io/badge/Paper-arXiv%3A2402.12677-B31B1B.svg"> </a> <a href="https://huggingface.co/datasets/RussRobin/StitchBench"> <img alt="Benchmark" src="https://img.shields.io/badge/🤗%20Benchmark-StitchBench-blue"> </a> <a href="https://huggingface.co/datasets/RussRobin/Aerial234"> <img alt="Benchmark" src="https://img.shields.io/badge/🤗%20Benchmark-Aerial234-green"> </a> </p>

Official implementation of "Object-level Geometric Structure Preserving for Natural Image Stitching".

Install

  1. Compile Opencv 4.4.0, VLFEAT and Eigen locally.

  2. Create a new Visual Studio .sln, and add all .cpp and .h files into this .sln.

  3. Set HED file paths in EdgeDetection.cpp.

StitchBench

StitchBench is by far the most comprehensive image stitching dataset. A sample image pair is provided in ./input-data/AANAP-01_skyline. StitchBench will be open-sourced upon publication of our paper. HuggingFace.

Aerial234

Aerial234 is a open-source dataset of 234 aerial images for image stitching. We used a drone to continuously scan an area of Southeast University and collected this dataset. It’s quite a challenging dataset, and we’re curious if there’s a method to stitch these 234 aerial images into a single panorama.

Dataset available at: HuggingFace.

Our work on aerial image stiching (just a preliminary attempt): UAV image stitching by estimating orthograph with RGB cameras.

Segment Anything Model Script

Run .sln and you will find 0-original.png in the ./ folder. Upload the image to Google Colab and run sam.ipynb to get SAM features and put it in ./ folder.

Usage

For any questions, please feel free to open an issue.

@article{cai2024object,
  title={Object-level Geometric Structure Preserving for Natural Image Stitching},
  author={Cai, Wenxiao and Yang, Wankou},
  journal={arXiv preprint arXiv:2402.12677},
  year={2024}
}

@article{Cai2023UAVIS,
  title={UAV image stitching by estimating orthograph with RGB cameras},
  author={Wenxiao Cai and Songlin Du and Wankou Yang},
  journal={J. Vis. Commun. Image Represent.},
  year={2023},
  volume={94},
  pages={103835},
  url={https://api.semanticscholar.org/CorpusID:258424154}
}