Open Access This content is freely available online to anyone, anywhere at any time.

Computer Vision Metrics

Survey, Taxonomy, and Analysis

Authors: Krig, Scott

Download source code
  • Computer Vision Metrics provides an extensive survey and analysis of current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. The taxonomy includes search methods, spectra components, descriptor representation, shape, distance functions, accuracy, efficiency, robustness and invariance attributes, and more.

Buy this book

eBook  
  • ISBN 978-1-4302-5930-5
  • This book is an open access book, you can download it for free on link.springer.com
Softcover $39.99
price for USA
  • ISBN 978-1-4302-5929-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors

Scott Krig is a pioneer in computer imaging, computer vision, and graphics visualization. He founded Krig Research in 1988 (krigresearch.com), providing the world’s first imaging and vision systems based onhigh-performance engineering workstations, super-computers, and dedicated imaging hardware, serving customers worldwide in 25 countries. Scott has provided imaging and vision solutions around the globe, and has worked closely with many industries, including aerospace, military, intelligence, law enforcement, government research, and academic organizations.More recently, Scott has worked for major corporations and startups serving commercial markets, solving problems in the areas of computer vision, imaging, graphics, visualization, robotics, process control, industrial automation, computer security, cryptography, and consumer applications of imaging and machine vision to PCs, laptops, mobile phones, and tablets. Most recently, Scott provided direction for Intel Corporation in the area of depth-sensing and computer vision methods for embedded systems and mobile platforms.Scott is the author of many patent applications worldwide in the areas of embedded systems, imaging, computer vision, DRM, and computer security, and studied at Stanford.

Table of contents (13 chapters)

  • Image Capture and Representation

    Krig, Scott

    Pages 1-37

  • Image Pre-Processing

    Krig, Scott

    Pages 39-83

  • Global and Regional Features

    Krig, Scott

    Pages 85-129

  • Local Feature Design Concepts, Classification, and Learning

    Krig, Scott

    Pages 131-189

  • Taxonomy of Feature Description Attributes

    Krig, Scott

    Pages 191-216

Buy this book

eBook  
  • ISBN 978-1-4302-5930-5
  • This book is an open access book, you can download it for free on link.springer.com
Softcover $39.99
price for USA
  • ISBN 978-1-4302-5929-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

Services for this book

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Computer Vision Metrics
Book Subtitle
Survey, Taxonomy, and Analysis
Authors
Copyright
2014
Publisher
Apress
Copyright Holder
Scott Krig
eBook ISBN
978-1-4302-5930-5
DOI
10.1007/978-1-4302-5930-5
Softcover ISBN
978-1-4302-5929-9
Edition Number
1
Number of Pages
XXXI, 508
Number of Illustrations and Tables
216 b/w illustrations
Topics