Computer Vision Metrics Book Reviews

AUTHOR
Scott Krig
SCORE
0
TOTAL RATINGS
80

Computer Vision Metrics by Scott Krig Book 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.

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Book Name Computer Vision Metrics
Genre Software
Published
Language English
E-Book Size 18.07 MB

Computer Vision Metrics (Scott Krig) Book Reviews 2024

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Summary of Computer Vision Metrics by Scott Krig

The Computer Vision Metrics book written by Scott Krig was published on 14 June 2014, Saturday in the Software category. A total of 80 readers of the book gave the book 0 points out of 5.

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