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Computer Vision Metrics: Survey, Taxonomy, and Analysis

The Embedded Vision Alliance, in partnership with Apress Media LLC, is pleased to provide you with a free electronic copy of the newly published book "Computer Vision Metrics," by Scott Krig. The Alliance will be periodically publishing new book chapters in both HTML and PDF formats, whose links you'll find below. Note that you'll need to register on the Alliance website and then sign in prior to accessing any particular chapter.

Periodically revisit this page for chapter updates; subscribe to the Alliance's LinkedIn, Twitter, and/or Facebook social media channels, along with the Alliance website's RSS feed, for proactive notification of new chapter publication. For an electronic copy of the entire book in PDF or Kindle formats, please respectively visit the Apress and Amazon websites. A print copy of the book can also be purchased directly from Apress.


Here's an abridged version of the book description, provided by Apress:

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.


And here's Scott's biography, from the Apress website:

Scott Krig is a pioneer in computer imaging, computer vision, and graphics visualization. He founded Krig Research in 1988, providing the world’s first imaging and vision systems based on high-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.

Below is the video of an interview that Jeff Bier, founder of the Embedded Vision Alliance, conducted with Scott Krig on July 18, 2014: