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Similarity measures for face recogni...

Marcolin, Federica.

Similarity measures for face recognition[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.3/7
書名/作者:	Similarity measures for face recognition/ Enrico Vezzetti and Federica Marcolin.
作者:	Vezzetti, Enrico.
其他作者:	Marcolin, Federica.
出版者:	Sharjah, U.A.E. : : Bentham Science Publishers,, c2015.
面頁冊數:	1 online resource : : ill.
標題:	Face perception.
標題:	Human face recognition (Computer science)
標題:	Image processing - Digital techniques.
ISBN:	9781681080444
書目註:	Includes bibliographical references and index.
摘要、提要註:	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.
電子資源:	https://doi.org/10.2174/97816810804441150101

Similarity measures for face recognition[electronic resource] /
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:

395028
Face perception.

LC Class. No.: TA1650

Dewey Class. No.: 006.3/7

Similarity measures for face recognition[electronic resource] /
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020 $a 9781681080444 $q (electronic bk.)
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050 4 $a TA1650
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100 1 $a Vezzetti, Enrico. $3 709988
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 395028
650 0 $a Human face recognition (Computer science) $3 343480
650 0 $a Image processing $x Digital techniques. $3 365611
700 1 $a Marcolin, Federica. $3 709989
856 4 0 $u https://doi.org/10.2174/97816810804441150101

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