國立虎尾科技大學 |

Language: English

Back

Similarity measures for face recognition

Marcolin, Federica.

Similarity measures for face recognition

Record Type:	Language materials, printed : 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:

1071150
Face perception.

LC Class. No.: TA1650

Dewey Class. No.: 006.3/7

Similarity measures for face recognition
LDR:01646cam a2200229 a 4500 001 949918
006 m o d
007 cr cn |||unuuu
008 200623s2015 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 1239314
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 1071150
650 0 $a Human face recognition (Computer science) $3 598555
650 0 $a Image processing $x Digital techniques. $3 555959
700 1 $a Marcolin, Federica. $3 1239315
856 4 0 $u https://doi.org/10.2174/97816810804441150101

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library