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Añadir al carritoPaperback. Condición: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoCondición: New. Num Pages: 539 pages, 216 black & white illustrations, biography. BIC Classification: UYT. Category: (G) General (US: Trade). Dimension: 230 x 154 x 30. Weight in Grams: 726. . 2014. 1st ed. paperback. . . . . Books ship from the US and Ireland.
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Añadir al carritoPaperback. Condición: new. Paperback. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Añadir al carritoTaschenbuch. Condición: Neu. Computer Vision Metrics | Survey, Taxonomy, and Analysis | Scott Krig | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2014 | Apress | EAN 9781430259299 | Verantwortliche Person für die EU: Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu.
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computer VisionMetrics provides an extensive survey and analysis of over 100 current andhistorical feature description and machine vision methods, with a detailed taxonomyfor local, regional and global features. This book provides necessarybackground to develop intuition about why interest point detectors and featuredescriptors actually work, how they are designed, with observations abouttuning the methods for achieving robustness and invariance targets for specificapplications. The survey is broader than it is deep, with over 540 referencesprovided to dig deeper. The taxonomy includes search methods, spectracomponents, descriptor representation, shape, distance functions, accuracy, efficiency,robustness and invariance attributes, and more. Rather than providing 'how-to' sourcecode examples and shortcuts, this book provides a counterpoint discussion tothe many fine opencv community source code resources available for hands-onpractitioners. 508 pp. Englisch.
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Computer Vision Metrics provides an extensive survey and analysis of current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. The taxonomy includes search methods, spec.
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computer VisionMetrics provides an extensive survey and analysis of over 100 current andhistorical feature description and machine vision methods, with a detailed taxonomyfor local, regional and global features. This book provides necessarybackground to develop intuition about why interest point detectors and featuredescriptors actually work, how they are designed, with observations abouttuning the methods for achieving robustness and invariance targets for specificapplications. The survey is broader than it is deep, with over 540 referencesprovided to dig deeper. The taxonomy includes search methods, spectracomponents, descriptor representation, shape, distance functions, accuracy, efficiency,robustness and invariance attributes, and more. Rather than providing 'how-to' sourcecode examples and shortcuts, this book provides a counterpoint discussion tothe many fine opencv community source code resources available for hands-onpractitioners.