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Similarity measures for face recognition

Marcolin, Federica.

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Similarity measures for face recognition

Record Type:	Electronic resources : Monograph/item
Title/Author:	Similarity measures for face recognition/ Enrico 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

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: 9781681080444Subjects--Topical Terms:

561965
Face perception.

LC Class. No.: TA1650

Dewey Class. No.: 006.3/7

Similarity measures for face recognition
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008 200427s2015 ts a ob 001 0 eng d
020 $a 9781681080444 $q (electronic bk.)
020 $z 9781681080451 $q (print)
035 $a 9781681080444
040 $a YDX $b eng $c YDX $d YDXCP
050 4 $a TA1650
082 0 4 $a 006.3/7
100 1 $a Vezzetti, Enrico. $3 3408398
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 561965
650 0 $a Human face recognition (Computer science) $3 704445
650 0 $a Image processing $x Digital techniques. $3 532550
700 1 $a Marcolin, Federica. $3 3408399
856 4 0 $u https://doi.org/10.2174/97816810804441150101