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Similarity measures for face recognition

Marcolin, Federica.

Similarity measures for face recognition

Record Type:	Electronic resources : Monograph/item
Title/Author:	Similarity measures for face recognitionEnrico Vezzetti and Federica Marcolin.
Author:	Vezzetti, Enrico.
other author:	Marcolin, Federica.
Published:	Sharjah, U.A.E. :Bentham Science Publishers,c2015.
Description:	1 online resource :ill.
Subject:	Face perception.
Online resource:	https://doi.org/10.2174/97816810804441150101
ISBN:	9781681080444$q(electronic bk.)

Similarity measures for face recognition
Vezzetti, Enrico.

Similarity measures for face recognition[electronic resource] /Enrico Vezzetti and Federica Marcolin. - 1st ed. - Sharjah, U.A.E. :Bentham Science Publishers,c2015. - 1 online resource :ill.

Includes bibliographical references and index.

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.

ISBN: 9781681080444$q(electronic bk.)Subjects--Topical Terms:

394032
Face perception.

LC Class. No.: TA1650

Dewey Class. No.: 006.3/7

Similarity measures for face recognition
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050 4 $a TA1650
082 0 4 $a 006.3/7
100 1 $a Vezzetti, Enrico. $3 846821
245 1 4 $a Similarity measures for face recognition $h [electronic resource] / $c Enrico Vezzetti and Federica Marcolin.
250 $a 1st ed.
260 $a Sharjah, U.A.E. : $b Bentham Science Publishers, $c c2015.
300 $a 1 online resource : $b ill.
504 $a Includes bibliographical references and index.
520 $a 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.
588 $a Description based on print version record.
650 0 $a Face perception. $3 394032
650 0 $a Human face recognition (Computer science) $3 257587
650 0 $a Image processing $x Digital techniques. $3 182119
700 1 $a Marcolin, Federica. $3 846822
856 4 0 $u https://doi.org/10.2174/97816810804441150101