Authors: Enrico Vezzetti, Federica Marcolin

Similarity Measures for Face Recognition

eBook: US $29 Special Offer (PDF + Printed Copy): US $61
Printed Copy: US $46
Library License: US $116
ISBN: 978-1-68108-045-1 (Print)
ISBN: 978-1-68108-044-4 (Online)
Year of Publication: 2015
DOI: 10.2174/97816810804441150101

Introduction

Face recognition has several applications, including security, such as (authentication and identification of device users and criminal suspects), and in medicine (corrective surgery and diagnosis). Facial recognition programs rely on algorithms that can compare and compute the similarity between two sets of images.

This eBook explains some of the similarity measures used in facial recognition systems in a single volume. Readers will learn about various measures including Minkowski distances, Mahalanobis distances, Hansdorff distances, cosine-based distances, among other methods. The book also summarizes errors that may occur in face recognition methods.

Computer scientists "facing face" and looking to select and test different methods of computing similarities will benefit from this book. The book is also useful tool for students undertaking computer vision courses.

ADD A COMMENT

Your Rating *

RELATED BOOKS

.Multi-Objective Optimization In Theory and Practice II: Metaheuristic Algorithms.
.Arduino and SCILAB based Projects.
.Arduino meets MATLAB: Interfacing, Programs and Simulink.
.Budget Optimization and Allocation: An Evolutionary Computing Based Model.