Computer Vision Metrics

Survey, Taxonomy, and Analysis



Bookstore > Books > Computer Vision Metrics

Computer Vision Metrics

Free Download
Buy
Preview
Amazon$32.79
eBay$45.87
update prices
Price$32.79 - $45.87
eBookFree
Rating
AuthorScott Krig
PublisherApress
Published2014
Pages508
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101430259299
ISBN-139781430259299
EBook Hardcover Paperback

Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications. The survey is broader than it is deep, with over 540 references provided to dig deeper. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more. Rather than providing 'how-to' source code examples and shortcuts, this book provides a counterpoint discussion to the many fine opencv community source code resources available for hands-on practitioners.




Similar Books


Programming Computer Vision with Python

Programming Computer Vision with Python

by Jan Erik Solem

If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. You'll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Pyth...

Price:  $22.50  |  Free ebook  |  Publisher:  O'Reilly Media  |  Release:  2012

OpenCV 3.0 Computer Vision with Java

OpenCV 3.0 Computer Vision with Java

by Daniel Lelis Baggio

OpenCV 3.0 Computer Vision with Java is a practical tutorial guide that explains fundamental tasks from computer vision while focusing on Java development. This book will teach you how to set up OpenCV for Java and handle matrices using the basic operations of image processing such as filtering and image transforms. It will also help you ...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2015

Raspberry Pi Computer Vision Programming

Raspberry Pi Computer Vision Programming

by Ashwin Pajankar

This book will provide you with the skills you need to successfully design and implement your own Raspberry Pi and Python-based computer vision projects.From the beginning, this book will cover how to set up your Raspberry Pi for computer vision applications, exploring the basics of OpenCV, and how to design and implement real-life comput...

Price:  $24.99  |  Publisher:  Packt Publishing  |  Release:  2015

OpenCV 2 Computer Vision Application Programming Cookbook

OpenCV 2 Computer Vision Application Programming Cookbook

by Robert Laganiere

OpenCV 2 Computer Vision Application Programming Cookbook will introduce you to numerous computer vision algorithms included in the OpenCV library. You will learn how to read, write, create and manipulate images. You will explore different techniques commonly used in image analysis and how they can be effectively implemented in C++. The b...

Price:  $3.49  |  Publisher:  Packt Publishing  |  Release:  2011

Learning OpenCV

Learning OpenCV

by Gary Bradski, Adrian Kaehler

This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised. -William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expandi...

Price:  $11.61  |  Publisher:  O'Reilly Media  |  Release:  2008

Practical Machine Learning for Computer Vision

Practical Machine Learning for Computer Vision

by Valliappa Lakshmanan, Martin Görner, Ryan Gillard

This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a gr...

Price:  $59.54  |  Publisher:  O'Reilly Media  |  Release:  2021

Learning OpenCV, 2nd Edition

Learning OpenCV, 2nd Edition

by Adrian Kaehler, Gary Bradski

Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data...

Price:  $60.42  |  Publisher:  O'Reilly Media  |  Release:  2013

Practical Computer Vision with SimpleCV

Practical Computer Vision with SimpleCV

by Kurt Demaagd, Anthony Oliver, Nathan Oostendorp, Katherine Scott

SimpleCV is a cross platform (Windows, Macintosh, Linux) framework in Python that makes writing computer vision applications quick and easy. This book takes you through real world examples and applications using SimpleCV so that anyone, even with zero knowledge of computer vision, can use to create their own vision application in a few mi...

Price:  $19.80  |  Publisher:  O'Reilly Media  |  Release:  2012