Local Image Descriptor: Modern Approaches (Paperback, 1st ed. 2015)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	SpringerBriefs in Computer Science
Release date:	February 2016
First published:	2015
Authors:	Bin Fan • Zhenhua Wang • Fuchao Wu
Dimensions:	235 x 155 x 6mm (L x W x T)
Format:	Paperback
Pages:	99
Edition:	1st ed. 2015
ISBN-13:	978-3-662-49171-3
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-662-49171-0
Barcode:	9783662491713

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