Approximately Symmetrical Face Images for Image Preprocessing in Face Recognition and Sparse Representation based Classification
The details can be found in the PR_2016 paper.
This code has been evaluated on Matlab.
The program is to evaluate the ASFI algorithms and this code is for the paper
demo_classification: main function for classification demo_preprocessing: main function for image preprocessing utility file: NNClassifier_L1: NN Classifier with L1 distance Homotopy: l1-Homotopy: http://users.ece.gatech.edu/~sasif/homotopy/
For image classification: Please derectly run the matlab file "demo_classification.m"
For image preprocessing: Please derectly run the matlab file "demo_preprocessing.m"
Note: This program only presents the image processing and classification results on the FERET database
WORK SETTING: This code has been compiled and tested by using matlab 7.0 and R2013a
Copyright: Zheng Zhang, Yong Xu, 2016.01.15
If you have any question, please contact us: [email protected], [email protected]
If you find our approach useful in your research, please consider citing:
Y. Xu, Z. Zhang*, G. Lu, J. Yang, Approximately Symmetrical Face Images for Image Preprocessing in Face Recognition and Sparse Representation based Classification, Pattern Recognition (PR), 54:68-82, 2016.
@article{xu2016approximately,
title={Approximately symmetrical face images for image preprocessing in face recognition and sparse representation based classification},
author={Xu, Yong and Zhang, Zheng and Lu, Guangming and Yang, Jian},
journal={Pattern Recognition},
volume={54},
pages={68--82},
year={2016},
publisher={Elsevier}
}