The source code for "An Evaluation of Feature Matchers for Fundamental Matrix Estimation"
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]
@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}
}
Root (FM-Bench)
-Dataset
--TUM
--KITTI
--Tanks_and_Temples
--CPC
-Pipeline
-Evaluation
-vlfeat-0.9.21
You can download dataset and vlfeat from the link https://1drv.ms/f/s!AiV6XqkxJHE2g3ZC4zYYR05eEY_m
0. run `git submodule update --init` to get MatlabProgressBar
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".