Awesome

FM-Bench

The source code for "An Evaluation of Feature Matchers for Fundamental Matrix Estimation"

Publication

An Evaluation of Feature Matchers for Fundamental Matrix Estimation, Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid, British Machine Vision Conference (BMVC), 2019 [Project Page] [pdf]

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

@inproceedings{bian2019bench,
  title={An Evaluation of Feature Matchers for Fundamental Matrix Estimation},
  author={Bian, Jia-Wang and Wu, Yu-Huan and Zhao, Ji and Liu, Yun and Zhang, Le and Cheng, Ming-Ming and Reid, Ian},
  booktitle= {British Machine Vision Conference (BMVC)},
  year={2019}
}

Data Orgnization

Root (FM-Bench)

-Dataset

    --TUM
  
    --KITTI
  
    --Tanks_and_Temples
  
    --CPC
 
 -Pipeline
 
 -Evaluation
 
 -vlfeat-0.9.21

Dataset Download

You can download dataset and vlfeat from the link https://1drv.ms/f/s!AiV6XqkxJHE2g3ZC4zYYR05eEY_m

How to use

1. Run the example "Pipeline/Pipeline_Demo.m" for results of SIFT-RT-RANSAC.

2. Run the evaluation "Evaluation/Evaluate.m".

3. You can visualize the matching and esimation results for each pair by running "Evaluation/ShowVisualResults.m".