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Local image descriptor = modern appr...

Wu, Fuchao.

Local image descriptor = modern approaches /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Local image descriptor/ by Bin Fan, Zhenhua Wang, Fuchao Wu.
其他題名:	modern approaches /
作者:	Fan, Bin.
其他作者:	Wang, Zhenhua.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
面頁冊數:	xii, 99 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Computer vision. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-49173-7
ISBN:	9783662491737

Local image descriptor = modern 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

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

561800
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.6

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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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