Local Image Descriptor: Modern Approaches / by Bin Fan, Zhenhua Wang, Fuchao Wu.

Format:

Book

Author/Creator:

Fan, Bin, author.

Wang, Zhenhua, author.

Wu, Fuchao, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

SpringerBriefs in computer science 2191-5768

SpringerBriefs in Computer Science, 2191-5768

Language:

English

Subjects (All):

Optical data processing.

Pattern perception.

Artificial intelligence.

Image Processing and Computer Vision.

Pattern Recognition.

Artificial Intelligence.

Local Subjects:

Image Processing and Computer Vision.

Pattern Recognition.

Artificial Intelligence.

Physical Description:

1 online resource (XII, 99 pages) : 33 illustrations, 7 illustrations in color.

Edition:

First edition 2015.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.

System Details:

text file PDF

Summary:

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.

Other Format:

Printed edition:

ISBN:

978-3-662-49173-7

9783662491737

Access Restriction:

Restricted for use by site license.