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001 978-1-4302-5930-5
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007 cr nn 008mamaa
008 140614s2014 xxu| s |||| 0|eng d
020 _a9781430259305
_9978-1-4302-5930-5
024 7 _a10.1007/978-1-4302-5930-5
_2doi
050 4 _aT385
072 7 _aUML
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aUML
_2thema
082 0 4 _a006.6
_223
100 1 _aKrig, Scott.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aComputer Vision Metrics
_h[electronic resource] :
_bSurvey, Taxonomy, and Analysis /
_cby Scott Krig.
250 _a1st ed. 2014.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2014.
300 _aXXXI, 508 p. 216 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
506 0 _aOpen Access
520 _aComputer 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.
650 0 _aComputer graphics.
650 0 _aOptical data processing.
650 0 _aNatural language processing (Computer science).
650 1 4 _aComputer Graphics.
_0http://scigraph.springernature.com/things/product-market-codes/I22013
650 2 4 _aImage Processing and Computer Vision.
_0http://scigraph.springernature.com/things/product-market-codes/I22021
650 2 4 _aNatural Language Processing (NLP).
_0http://scigraph.springernature.com/things/product-market-codes/I21040
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781430259299
776 0 8 _iPrinted edition:
_z9781430259312
856 4 0 _uhttps://doi.org/10.1007/978-1-4302-5930-5
912 _aZDB-2-CWD
912 _aZDB-2-SOB
999 _c524875
_d524873