FFD: Fast Feature Detector

Introduction

FFD is a fast scale-invariant feature detector for computer vision tasks. This repo includes the code for keypoint detection from images. Given a pair of images, you can use this repo to extract matching features across the image pair.

• Full paper PDF: FFD: Fast Feature Detector.

• Authors: Morteza Ghahremani, Yonghuai Liu and Bernard Tiddeman

Dependencies

• Python 3 >= 3.5
• OpenCV >= 3.4
• NumPy >= 1.18

Contents

There are two main scripts in this repo:

1. demo_FFD.py: runs and shows extracted keypoints located in image/
2. match_pairs.py: reads an image pair from image/ and matches (SIFT descriptor is used for feature description)

python3 demo_FFD.py
python3 match_pairs.py

BibTeX Citation

If you use any ideas from the paper or code from this repo, please consider citing:

@ARTICLE{???,
  author={M. {Ghahremani} and Y. {Liu} and B. {Tiddeman}},
  journal={IEEE Transactions on Image Processing}, 
  title={FFD: Fast Feature Detector}, 
  year={2021},
  volume={-},
  number={-},
  pages={-},
  doi={--}}