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Book Cover
Author Vezzetti, Enrico, author

Title Similarity measures for face recognition / authored by Vezzetti, Enrico Marcolin, Federica Enrico Vezzetti and Federica Marcolin
Published Sharjah, United Arab Emirates : Bentham Science Publishers, 2015
Online access available from:
ProQuest Ebook Central Subscription    View Resource Record  


Description 1 online resource (108 pages)
Contents Cover -- Title -- EUL -- Contents -- Foreword -- Preface -- Chapter 01 -- Chapter 02 -- Chapter 03 -- Chapter 04 -- Chapter 05 -- Chapter 06 -- Chapter 07 -- Chapter 08 -- Chapter 10 -- Chapter 11 -- References -- Index
Summary 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
Notes Electronic version available
Restrictions on access to electronic version: access available to SOAS staff and students only, using SOAS id and password
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (ebrary, viewed May 23, 2015)
Subject Human face recognition (Computer science)
Form Electronic book
Author Marcolin, Federica, author
ISBN 1681080443
9781681080444 (e-book)