Computer Vision Metrics - Survey, Taxonomy, and Analysis (Paperback, 1st ed.)

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.

General

Imprint:	Apress
Country of origin:	Germany
Release date:	May 2014
First published:	May 2014
Authors:	Scott Krig
Dimensions:	254 x 178 x 30mm (L x W x T)
Format:	Paperback
Pages:	508
Edition:	1st ed.
ISBN-13:	978-1-4302-5929-9
Categories:	Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-4302-5929-9
Barcode:	9781430259299

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