Search results: Found 1

Listing 1 - 1 of 1
Sort by
Computer Vision Metrics: Survey, Taxonomy, and Analysis

Author:
ISBN: 9781430259299 / 9781430259305 Year: Pages: 508 Language: English
Publisher: Apress Grant: Intel
Subject: Computer Science
Added to DOAB on : 2018-07-20 18:24:28
License:

Loading...
Export citation

Choose an application

Abstract

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.

Keywords

Listing 1 - 1 of 1
Sort by
Narrow your search

Publisher

Apress (1)


License

CC by-nc-nd (1)


Language

english (1)


Year
From To Submit

2014 (1)