The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v2.0 is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition.

INface_tool
...........\auxilary
...........\........\adjust_range.m
...........\........\compute_patch_library.m
...........\........\Contents.m
...........\........\gamma_correction.m
...........\........\highboostfilter.m
...........\........\highpassfilter.m
...........\........\lowpassfilter.m
...........\........\normalize8.m
...........\........\pca.m
...........\........\perform_lowdim_embedding.m
...........\........\perform_nl_means.m
...........\........\perform_nl_means_adap.m
...........\........\symmetric_extension.m
...........\........\threshold_filtering.m
...........\ChangeLog.txt
...........\check_install.m
...........\Contents.m
...........\demos
...........\.....\combin_demo.m
...........\.....\Contents.m
...........\.....\histograms_demo.m
...........\.....\luminance_demo.m
...........\.....\make_new_method_demo.m
...........\.....\photometric_demo.m
...........\histograms
...........\..........\Contents.m
...........\..........\fitt_distribution.m
...........\..........\rank_normalization.m
...........\INFace_license.txt
...........\INFace_manual.pdf
...........\install_INface.m
...........\mex
...........\...\config.h
...........\...\perform_nlmeans_mex.cpp
...........\...\perform_nlmeans_mex1.cpp
...........\other
...........\.....\ACKNOWL1.bib
...........\.....\ACKNOWL2.bib
...........\.....\AN.bib
...........\.....\ASR.bib
...........\.....\DCT.bib
...........\.....\GRF.bib
...........\.....\HIST.bib
...........\.....\LSSF.bib
...........\.....\MSR.bib
...........\.....\NLM.bib
...........\.....\SSQ.bib
...........\.....\SSR.bib
...........\.....\TT.bib
...........\.....\WA.bib
...........\.....\WD.bib
...........\.....\WEB.bib
...........\photometric
...........\...........\adaptive_nl_means_normalization.m
...........\...........\adaptive_single_scale_retinex.m
...........\...........\anisotropic_smoothing.m
...........\...........\anisotropic_smoothing_stable.m
...........\...........\Contents.m
...........\...........\DCT_normalization.m
...........\...........\dog.m
...........\...........\gradientfaces.m
...........\...........\homomorphic.m
...........\...........\isotropic_smoothing.m
...........\...........\lssf_norm.m
...........\...........\MIT_license.txt
...........\...........\multi_scale_retinex.m
...........\...........\multi_scale_self_quotient_image.m
...........\...........\multi_scale_weberfaces.m
...........\...........\nl_means_normalization.m
...........\...........\single_scale_retinex.m
...........\...........\single_scale_self_quotient_image.m
...........\...........\steerable_gaussians.m
...........\...........\tantriggs.m
...........\...........\wavelet_denoising.m
...........\...........\wavelet_normalization.m
...........\...........\weberfaces.m
...........\postprocessors
...........\..............\Contents.m
...........\..............\histtruncate.m
...........\..............\robust_postprocessor.m
...........\sample_image.bmp
...........\Thumbs.db
license.txt

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