Computer Vision Metrics is popular PDF and ePub book, written by Scott Krig in 2014-06-14, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Computer Vision Metrics can be Read Online from any device for your convenience.
Computer Vision Metrics Book PDF Summary
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.
Detail Book of Computer Vision Metrics PDF
- Author : Scott Krig
- Release : 14 June 2014
- Publisher : Apress
- ISBN : 9781430259305
- Genre : Computers
- Total Page : 498 pages
- Language : English
- PDF File Size : 13,7 Mb
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