Computer Vision Metrics: Survey, Taxonomy, and Analysis (Record no. 70591)

MARC details
000 -LEADER
fixed length control field 02039naaaa2200265uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/43720
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220062807.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number /doi.org/10.1007/978-1-4302-5930-5
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781430259299
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781430259305
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1007/978-1-4302-5930-5
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Scott Krig
Relationship auth
245 10 - TITLE STATEMENT
Title Computer Vision Metrics: Survey, Taxonomy, and Analysis
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Apress
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (508 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. 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.
536 ## - FUNDING INFORMATION NOTE
Text of note Intel
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by-nc-nd/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by-nc-nd/4.0/
546 ## - LANGUAGE NOTE
Language note English
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-1-4302-5930-5">https://link.springer.com/book/10.1007/978-1-4302-5930-5</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/43720">https://directory.doabooks.org/handle/20.500.12854/43720</a>
Access status 0
Public note DOAB: description of the publication

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