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Similarity measures for face recognition

Author: Enrico Vezzetti; Federica Marcolin
Publisher: Sharjah, United Arab Emirates : Bentham Science Publishers, 2015. ©2015
Edition/Format:   eBook : Document : EnglishView all editions and formats
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Vezzetti, Enrico.
Similarity measures for face recognition.
Sharjah, United Arab Emirates : Bentham Science Publishers, ©2015
iii, 109 pages
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Enrico Vezzetti; Federica Marcolin
ISBN: 9781681080444 1681080443
OCLC Number: 960203006
Notes: Electronic version available.
Restrictions on access to electronic version: access available to SOAS staff and students only, using SOAS id and password.
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.
Responsibility: authored by Vezzetti, Enrico Marcolin, Federica Enrico Vezzetti and Federica Marcolin.

Abstract:

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.

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