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