INface : A Toolbox for Illumination Invariant Face Recognition

Foreword 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 byprod-uct of my research work. It includes implementations of the following photomet-ric normalization techniques: the single-scale-retinex algorithm, the multi-scale-retinex 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 nor-malization 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. This document describes the basics of the toolbox, from installation to usage. The reader is referred to the original papers for more information on the theory underlying the individual techniques.