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Matlab Code for LMR: Learning for mismatch removal
This project forked from starainj/lmr
Matlab Code for LMR: Learning for mismatch removal
## LMR: Learning A Two-class Classifier for Mismatch Removal ## Usage: Prerequisites: matlab (test on 2015b and 2016b), vlfeat There are several trained classifiers in "Trained_Model" generated by the authors using the "trainingData". 1. Run the LMR_Test.m for mismatch removal using trained classifiers, three models you can choose including:1)Neural Network (Net.mat); 2)Random Forest (RF.mat) 3)SVM (svmStructure.mat) 2. Run the LMR_Train.m if you want to train the cllasifier by yourself. ## Please cite this paper if you use the code in this repository as part of a published research project. @article{ma2019lmr, title={LMR: Learning A Two-class Classifier for Mismatch Removal}, author={Ma, Jiayi and Jiang, Xingyu and Jiang, Junjun and Zhao, Ji and Guo, Xiaojie}, journal={IEEE Transactions on Image Processing}, year={2019}, publisher={IEEE} }
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