University of Ljubljana Faculty of Electrotechnical Engineering

Thanks I would like to thank Dr. Peter Kovesi and Dr. Gabriel Peyré for the permission to use some of their functions in the toolbox. I would also like to thank Alpineon Ltd and the Slovenian Research Agency (ARRS) for funding the postdoctoral project BAMBI (Biometric face recognition in ambient intelligence environments), which made the INFace toolbox v2.0 possible. Foreword The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v 2.0 is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition. The toolbox was produced as a byproduct of my research work and is freely available for download. The INface toolbox v2.0 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 normal-ization technique, a normalization technique based on steerable filters, a modified version of the anisotropic-diffusion-based normalization technique, the Gradient-faces approach, the Weberfaces approach, the multi-scale Weberfaces approach, the Tan and Triggs normalization technique and the large and small scale features normalization technique. 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.