Image Matching Benchmark

Evaluation code for "Image Matching Benchmark"

Publication:

Image Matching Benchmark, JiaWang Bian, Le Zhang, Yun Liu, Wen-Yan Lin, Ming-Ming Cheng and Ian D. Reid. [Project Page] [pdf] [Dataset (Baidu Yun)] [Dataset (Google Drive)]

Introduction

There exist a "ReadMe.txt" for describing the data and code in each folder.

Requirements:

1. Matlab (Evaluate results and plot figures)
2. Ghostscript (Save figures as pdf format)
3. OpenCV (Run feature matching algorithms)

Dataset:

1. Download the all subsets from the project page (https://jwbian.net/benchmark) and put them in the folder "Dataset".
2. The data format is described in "ReadMe.txt".

Algorithms:

1. The code of total 12 feature matchers are provided.
2. The Matlab script for running algorithms on all subsets are given.

Evaluation:

You can use the code in this folder to plot figures as presented in the paper.

If you like this work, please cite our paper

@inproceedings{bian2018benchmark,
    title={Image Matching Benchmark},
    author={JiaWang Bian and Le Zhang and Yun Liu and Wen-Yan Lin and Ming-Ming Cheng and Ian D. Reid},
    year={2018}
}