MRR_eccv12.pdf
code
....\AlignTrain
....\..........\final.mat
....\face_database
....\.............\meta
....\.............\....\data
....\.............\....\....\session02
....\.............\....\....\.........\multiview
....\.............\....\....\.........\.........\001
....\.............\....\....\.........\.........\...\01
....\.............\....\....\.........\.........\...\..\SmP05_1
....\.............\....\....\.........\.........\...\..\.......\001_02_01_051_10.jpg
....\.............\....\....\.........\.........\...\..\.......\facep_10.mat
....\.............\....\....\.........\.........\...\..\.......\Thumbs.db
....\.............\....\....\.........\.........\002
....\.............\....\....\.........\.........\...\01
....\.............\....\....\.........\.........\...\..\SmP05_1
....\.............\....\....\.........\.........\...\..\.......\002_02_01_051_10.jpg
....\.............\....\....\.........\.........\...\..\.......\facep_10.mat
....\.............\....\....\.........\.........\...\..\.......\Thumbs.db
....\.............\....\....\.........\.........\003
....\.............\....\....\.........\.........\...\01
....\.............\....\....\.........\.........\...\..\SmP05_1
....\.............\....\....\.........\.........\...\..\.......\003_02_01_051_10.jpg
....\.............\....\....\.........\.........\...\..\.......\facep_10.mat
....\.............\....\....\.........\.........\...\..\.......\Thumbs.db
....\.............\....\....\.........\.........\004
....\.............\....\....\.........\.........\...\01
....\.............\....\....\.........\.........\...\..\SmP05_1
....\.............\....\....\.........\.........\...\..\.......\004_02_01_051_10.jpg
....\.............\....\....\.........\.........\...\..\.......\facep_10.mat
....\.............\....\....\.........\.........\...\..\.......\Thumbs.db
....\.............\....\....\.........\.........\005
....\.............\....\....\.........\.........\...\01
....\.............\....\....\.........\.........\...\..\SmP05_1
....\.............\....\....\.........\.........\...\..\.......\005_02_01_051_10.jpg
....\.............\....\....\.........\.........\...\..\.......\facep_10.mat
....\.............\....\....\.........\.........\...\..\.......\Thumbs.db
....\HOW_TO_USE_MRR.txt
....\Main_mrr.m
....\RASL_toolbox
....\............\gamma_decompress.m
....\............\gauss_pyramid.m
....\............\get_training_images.asv
....\............\get_training_images.m
....\............\image_Jaco.asv
....\............\image_Jaco.m
....\............\list_directories.m
....\............\list_image_files.m
....\............\normalize.m
....\............\parameters_to_projective_matrix.m
....\............\pos.m
....\............\projective_matrix_to_parameters.m
....\............\ThreePointAffine.m
....\............\TwoPointSimilarity.m
....\............\vec.m
....\utilities
....\.........\CreatCoords.m
....\.........\get_training_images_ym_vx.m
....\.........\Load_mpie_img.m
....\.........\prc_inner_ialm_vx.m
....\.........\prc_recg2_runtime.m
....\.........\prc_tform_align.m
....\.........\prc_tform_align_f.m
....\.........\Pro_proc.m
....\.........\Pro_proc_crop.m
....\.........\psrc_inner_ialm.m
ReadMe.txt
% ========================================================================
% Efficient Misalignment Robust Representation for Real-time Face Recognition, Version 1.0
% Copyright(c) 2012 Meng Yang, Lei Zhang, and David Zhang
% All Rights Reserved.
%
% ----------------------------------------------------------------------
% Permission to use, copy, or modify this software and its documentation
% for educational and research purposes only and without fee is here
% granted, provided that this copyright notice and the original authors'
% names appear on all copies and supporting documentation. This program
% shall not be used, rewritten, or adapted as the basis of a commercial
% software or hardware product without first obtaining permission of the
% authors. The authors make no representations about the suitability of
% this software for any purpose. It is provided "as is" without express
% or implied warranty.
%----------------------------------------------------------------------
%
% These are one implementations of the algorithm for Face Recognition on CMU Multi-PIE.
%
%
% Please refer to the following paper
%
% Meng Yang, Lei Zhang, and David Zhang, "Efficient Misalignment Robust Representation
% Representation for Real-Time Face Recognition Classification," In Proc. ECCV 2012.
%
% Contact: {csmyang,cslzhang}@comp.polyu.edu.hk
%----------------------------------------------------------------------