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Local image descriptormodern approac...

Fan, Bin.

Local image descriptormodern approaches /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Local image descriptorby Bin Fan, Zhenhua Wang, Fuchao Wu.
Reminder of title:	modern approaches /
Author:	Fan, Bin.
other author:	Wang, Zhenhua.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg :2015.
Description:	xii, 99 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer vision.
Online resource:	http://dx.doi.org/10.1007/978-3-662-49173-7
ISBN:	9783662491737$q(electronic bk.)

Local image descriptormodern approaches /
Fan, Bin.

Local image descriptormodern approaches /[electronic resource] :by Bin Fan, Zhenhua Wang, Fuchao Wu. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xii, 99 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics on this area. The goal of this effort is to let readers know what are the most popular and useful methods in the current, what are the advantages and the disadvantages of these methods, which kind of methods is best suitable for their problems or applications, and what is the future of this area. What is more, hands-on exemplars supplied in this book will be of great interest to Computer Vision engineers and practitioners, as well as those want to begin their research in this area. Overall, this book is suitable for graduates, researchers and engineers in the related areas both as a learning text and as a reference book.

ISBN: 9783662491737$q(electronic bk.)

Standard No.: 10.1007/978-3-662-49173-7doiSubjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.6

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245 1 0 $a Local image descriptor $h [electronic resource] : $b modern approaches / $c by Bin Fan, Zhenhua Wang, Fuchao Wu.
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520 $a This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics on this area. The goal of this effort is to let readers know what are the most popular and useful methods in the current, what are the advantages and the disadvantages of these methods, which kind of methods is best suitable for their problems or applications, and what is the future of this area. What is more, hands-on exemplars supplied in this book will be of great interest to Computer Vision engineers and practitioners, as well as those want to begin their research in this area. Overall, this book is suitable for graduates, researchers and engineers in the related areas both as a learning text and as a reference book.
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