项目作者: JiawangBian

项目描述 :
An Evaluation of Feature Matchers for Fundamental Matrix Estimation (BMVC 2019)
高级语言: MATLAB
项目地址: git://github.com/JiawangBian/FM-Bench.git
创建时间: 2019-07-30T08:09:11Z
项目社区:https://github.com/JiawangBian/FM-Bench

开源协议:

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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] [pdf]

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

  1. @inproceedings{bian2019bench,
  2. title={An Evaluation of Feature Matchers for Fundamental Matrix Estimation},
  3. author={Bian, Jia-Wang and Wu, Yu-Huan and Zhao, Ji and Liu, Yun and Zhang, Le and Cheng, Ming-Ming and Reid, Ian},
  4. booktitle= {British Machine Vision Conference (BMVC)},
  5. year={2019}
  6. }

Data Orgnization

Root (FM-Bench)

  1. -Dataset
  2. --TUM
  3. --KITTI
  4. --Tanks_and_Temples
  5. --CPC
  6. -Pipeline
  7. -Evaluation
  8. -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. 1. Run the example "Pipeline/Pipeline_Demo.m" for results of SIFT-RT-RANSAC.
  2. 2. Run the evaluation "Evaluation/Evaluate.m".
  3. 3. You can visualize the matching and esimation results for each pair by running "Evaluation/ShowVisualResults.m".