Local Image Descriptor: Modern Approaches
Local Image Descriptor: Modern Approaches
Springer | Image Processing | February 2, 2016 | ISBN-10: 3662491710 | 99 pages | pdf | 3.27 mb
Springer | Image Processing | February 2, 2016 | ISBN-10: 3662491710 | 99 pages | pdf | 3.27 mb
Authors: Fan, Bin, Wang, Zhenhua, Wu, Fuchao
Maximizes reader insights into local image description, both on classical methods and the state-of-the-art ones
Broadens your understanding on the development of this area and supplies you the most promising new directions
Reinforces basic principles with respect to designing robust and discriminative local image descriptors
Explains how to use local image descriptors for various computer vision tasks
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.
Number of Illustrations and Tables
26 illus., 7 in colour
Topics
Image Processing and Computer Vision
Pattern Recognition
Artificial Intelligence (incl. Robotics)
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