Local Image Descriptor: Modern Approaches

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2016-01-04

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Description
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.
Pages
99 pages
Collection
SpringerBriefs in Computer Science
Parution
2016-01-04
Marque
Springer
EAN papier
9783662491713
EAN PDF
9783662491737

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
3379 Ko
Prix
52,74 €
EAN EPUB
9783662491737

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
1935 Ko
Prix
52,74 €