**Face Recognition**

by Milos Oravec

**Publisher**: InTech 2010**ISBN-13**: 9789533070605**Number of pages**: 412

**Description**:

This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence.

Download or read it online for free here:

**Download link**

(28MB, PDF)

## Similar books

**Introduction to Programming for Image Analysis with VTK**

by

**Xenophon Papademetris**-

**Image Processing and Analysis Group**

The author's goal was to provide sufficient introductory material for a typical 1st year engineering graduate student with some background in programming in C and C++ to leverage modern open source toolkits in medical image analysis.

(

**15744**views)

**Computer Vision**

by

**Dana H. Ballard, Christopher M. Brown**-

**Prentice Hall**

The book on computer vision - the construction of explicit, meaningful descriptions of physical objects from images. Parts of the book assume some mathematical and computing background, but mainly mathematical rigor takes a backseat to concepts.

(

**18364**views)

**Natural Image Statistics**

by

**Aapo Hyvarinen, Jarmo Hurri, Patrik O. Hoyer**-

**Springer**

Introductory textbook and a research monograph on modelling the statistical structure of natural images. The statistical structure of natural images is described using a number of statistical models whose parameters are estimated from image samples.

(

**11345**views)

**What does the honeybee see? And how do we know?**

by

**Adrian Horridge**-

**ANU E Press**

The book is the only account of what the bee actually detects with its eyes. The erratic path to understanding makes interesting reading for anyone with an analytical mind who thinks about the methods of science or the engineering of seeing machines.

(

**9032**views)