000 | 03084nam a22005175i 4500 | ||
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001 | 978-1-4302-5930-5 | ||
003 | DE-He213 | ||
005 | 20210511122112.0 | ||
007 | cr nn 008mamaa | ||
008 | 140614s2014 xxu| s |||| 0|eng d | ||
020 |
_a9781430259305 _9978-1-4302-5930-5 |
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024 | 7 |
_a10.1007/978-1-4302-5930-5 _2doi |
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050 | 4 | _aT385 | |
072 | 7 |
_aUML _2bicssc |
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072 | 7 |
_aCOM012000 _2bisacsh |
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_aUML _2thema |
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082 | 0 | 4 |
_a006.6 _223 |
100 | 1 |
_aKrig, Scott. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _96976 |
|
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. |
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300 |
_aXXXI, 508 p. 216 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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. _96977 |
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650 | 0 |
_aOptical data processing. _9746 |
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650 | 0 |
_aNatural language processing (Computer science). _91882 |
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650 | 1 | 4 |
_aComputer Graphics. _0https://scigraph.springernature.com/ontologies/product-market-codes/I22013 _96978 |
650 | 2 | 4 |
_aImage Processing and Computer Vision. _0https://scigraph.springernature.com/ontologies/product-market-codes/I22021 _9748 |
650 | 2 | 4 |
_aNatural Language Processing (NLP). _0https://scigraph.springernature.com/ontologies/product-market-codes/I21040 _91884 |
710 | 2 |
_aSpringerLink (Online service) _9141 |
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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-SXPC | ||
912 | _aZDB-2-SOB | ||
942 |
_cEBK _w1 _xAdministrator Library _y1 _z Administrator Library |
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999 |
_c1434 _d1434 |
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773 | _tSpringer Nature Open Access eBook |