FM-Bench
April 6, 2020 ยท View on GitHub
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".