"Recent Advances in Face Recognition" ed. by Kresimir Delac, Mislav Grgic and Marian Stewart Bartlett (Repost)

This goal of this book is to provide the reader with the most up to date research performed in automatic face recognition. The chapters presented use innovative approaches to deal with a wide variety of unsolved issues.

The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three identification methods used in e-passports and a biometric of choice for many other security applications.

Contents
1 Image Compression in Face Recognition - a Literature Survey
2 New Parallel Models for Face Recognition
3 Robust Face Recognition System Based on a Multi-Views Face Database
4 Face Recognition by Discriminative Orthogonal Rank-one Tensor Decomposition
5 Intelligent Local Face Recognition
6 Generating Optimal Face Image in Face Recognition System
7 Multiresolution Methods in Face Recognition
8 Illumination Normalization using Quotient Image-based Techniques
9 Liveness Detection for Face Recognition
10 2D-3D Mixed Face Recognition Schemes
11 Recognizing Face Images with Disguise Variations
12 Discriminant Subspace Analysis for Uncertain Situation in Facial Recognition
13 Blood Perfusion Models for Infrared Face Recognition
14 Discriminating Color Faces for Recognition
15 A Novel Approach to Using Color Information in Improving Face Recognition Systems Based on Multi-Layer Neural Networks