Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Computer Vision Metrics: Survey, Taxonomy, and Analysis
What's the current weather of a particular airport? Click here to find out.
  • Title: Computer Vision Metrics: Survey, Taxonomy, and Analysis
  • Author(s) Scott Krig
  • Publisher: Apress OPEN, 2014 edition (May 30, 2014)
  • License(s): CC BY 4.0
  • Paperback: 508 pages
  • eBook: ePUB (9.9 MB), MOBI, PDF (16.1 MB)
  • Language: English
  • ISBN-10: 1430259299
  • ISBN-13: 978-1430259299 (Print) 978-1430259305 (Online)
  • Share This:  

Book Description

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.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books: Similar Books:
  • Computer Vision: Algorithms and Applications, Second Edition

    This book explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications as well as for fun, consumer-level tasks.

  • Computer Vision: Models, Learning, and Inference (Simon Prince)

    The book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. The detailed methodological presentation is useful for practitioners of computer vision.

  • Programming Computer Vision with Python: Tools and Algorithms

    This book is a hands-on introduction to computer vision using Python. It gives an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers.

  • Digital Video Concepts, Methods, and Metrics (S. Akramullah)

    This book is a concise reference for professionals in a wide range of applications and vocations. It focuses on giving the reader mastery over the concepts, methods and metrics of digital video coding.

  • Mastering OpenCV 4: Computer Vision & Image Processing Apps

    This book targets computer vision engineers taking their first steps toward mastering OpenCV. Keeping the mathematical formulations to a solid but bare minimum, it delivers complete projects from ideation to running code, targeting current hot topics, etc.

  • Computer Vision (Dana H. Ballard, et al)

    This book is the construction of explicit, meaningful descriptions of physical objects from images. Image understanding is very different from image processing, which studies image-to-image transformations, not explicit description building.

Book Categories
:
Other Categories
Resources and Links