darrenzzhang / pr16-asfi

Approximately Symmetrical Face Images for Image Preprocessing in Face Recognition and Sparse Representation based Classification

Approximately Symmetrical Face Images (ASFI)

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

File description:

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/

How TO RUN THE CODE

For image classification: Please derectly run the matlab file "demo_classification.m"

For image preprocessing: Please derectly run the matlab file "demo_preprocessing.m"

OTHERS

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]

Citation:

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}
}