The INface toolbox for illumination invariant face recognition (Scripts) Publisher's description
from Vitomir Struc
The INFace (Illumination Normalization techniques for robust Face recognition) toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition
The INFace (Illumination Normalization techniques for robust Face recognition) toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition. The toolbox was produced as a byproduct of my research work. It includes implementations of the following photometric normalization techniques: the single-scale-retinex algorithm, the multi-scaleretinex algorithm, the single-scale self quotient image, the multi-scale self quotient image, the homomorphic-filtering-based normalization technique, a wavelet-based normalization technique, a wevelet denoising-based normalization technique, the isotropic-diffusion-based normalization technique, the anisotropic diffusion-based normalization technique, the non-local means-based normalization technique, the adaptive non-local-means-based normalization technique, the DCT-based normalization technique and a normalization technique based on steerable filters. In addition to the listed techniques there are also a number of histogram manipulation functions included in the toolbox, which can be useful for the task of illumination invariant face recognition.
In addition to the functions listed above, the toolbox contains a detail user-manual and several demos with examples of usage of the individual functions.
I will try to post the original publication associated with the database as soon as I get the permission of the publisher for doing so.
Please report any bugs you find, so I can improve the toolbox.
System Requirements:MATLAB 7.5 (R2007b)
Program Release Status: New Release
Program Install Support: Install and Uninstall