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Human recognition in unconstrained e...

De Marsico, Maria,

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Human recognition in unconstrained environments = using computer vision, pattern recognition and machine learning methods for biometrics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Human recognition in unconstrained environments/ edited by Maria De Marsico, Michele Nappi, Hugo Pedro Proença.
其他題名:	using computer vision, pattern recognition and machine learning methods for biometrics /
其他作者:	De Marsico, Maria,
出版者:	Amsterdam :Academic Press, : 2017.,
面頁冊數:	1 online resource.
標題:	Biometric identification. -
電子資源:	https://www.sciencedirect.com/science/book/9780081007051
ISBN:	9780081007129 (electronic bk.)

Human recognition in unconstrained environments = using computer vision, pattern recognition and machine learning methods for biometrics /
Human recognition in unconstrained environmentsusing computer vision, pattern recognition and machine learning methods for biometrics /[electronic resource] :edited by Maria De Marsico, Michele Nappi, Hugo Pedro Proença. - Amsterdam :Academic Press,2017. - 1 online resource.

Includes bibliographical references and index.

Providing a unique picture of the complete in-the-wild biometric recognition processing chain, this book covers everything from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. --

ISBN: 9780081007129 (electronic bk.)

Nat. Bib. No.: GBB711216bnbSubjects--Topical Terms:

729691
Biometric identification.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.248

Human recognition in unconstrained environments = using computer vision, pattern recognition and machine learning methods for biometrics /
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020 $a 9780081007129 (electronic bk.)
020 $a 9780081007051 (hbk.)
035 $a 020770529
040 $a StDuBDS $b eng $c StDuBDS $d Uk
041 0 $a eng
050 4 $a TK7882.B56
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245 0 0 $a Human recognition in unconstrained environments $h [electronic resource] : $b using computer vision, pattern recognition and machine learning methods for biometrics / $c edited by Maria De Marsico, Michele Nappi, Hugo Pedro Proença.
260 $a Amsterdam : $b Academic Press, $c 2017.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a Providing a unique picture of the complete in-the-wild biometric recognition processing chain, this book covers everything from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. -- $c Edited summary from book.
650 0 $a Biometric identification. $3 729691
650 0 $a Computer vision. $3 540671
650 0 $a Pattern recognition systems. $3 527885
650 0 $a Machine learning. $3 533906
650 2 $a Pattern Recognition, Automated $3 3614817
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a De Marsico, Maria, $e editor. $3 3231418
700 1 $a Nappi, Michele, $e editor. $3 3231419
700 1 $a Proença, Hugo, $e editor. $3 3614816
856 4 0 $u https://www.sciencedirect.com/science/book/9780081007051