FM-Bench

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An Evaluation of Feature Matchers for Fundamental Matrix Estimation (BMVC 2019)

FM-Bench 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# 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](http://jwbian.net/fm-bench)] [[pdf](https://jwbian.net/Papers/FM_BMVC19.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".

FM-Bench

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