Computer Vision Metrics: Survey, Taxonomy, and Analysis
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...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | Online |
| اللغة: | الإنجليزية |
| منشور في: |
Apress
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | 27357 |
| الوسوم: |
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| _version_ | 1869526646386589696 |
|---|---|
| author | Scott Krig |
| author_browse | Scott Krig |
| author_facet | Scott Krig |
| author_sort | Scott Krig |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-43720 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Apress |
| publisherStr | Apress |
| record_format | ojs |
| spelling | doab-20.500.12854ir-437202023-12-20T18:40:50Z Computer Vision Metrics: Survey, Taxonomy, and Analysis Scott Krig QA75.5-76.95 bic Book Industry Communication::U Computing & information technology::UY Computer science 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. 2021-02-11T10:19:36Z 2021-02-11T10:19:36Z 2018-07-20 18:24:28 2014 book 27357 0 9781430259299 9781430259305 https://directory.doabooks.org/handle/20.500.12854/43720 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://www.apress.com/gb/book/9781430259299?wt_mc=ThirdParty.SpringerLink.3.EPR653.About_eBook#otherversion=9781430259305 https://link.springer.com/book/10.1007/978-1-4302-5930-5 Apress https://doi.org/10.1007/978-1-4302-5930-5 https://doi.org/10.1007/978-1-4302-5930-5 63d766d6-865d-4f92-bc33-b46fceac0c6a adcbbdbf-4704-4285-802a-68b3b9a5aa61 9781430259299 9781430259305 508 Intel open access |
| spellingShingle | QA75.5-76.95 bic Book Industry Communication::U Computing & information technology::UY Computer science Scott Krig Computer Vision Metrics: Survey, Taxonomy, and Analysis |
| title | Computer Vision Metrics: Survey, Taxonomy, and Analysis |
| title_full | Computer Vision Metrics: Survey, Taxonomy, and Analysis |
| title_fullStr | Computer Vision Metrics: Survey, Taxonomy, and Analysis |
| title_full_unstemmed | Computer Vision Metrics: Survey, Taxonomy, and Analysis |
| title_short | Computer Vision Metrics: Survey, Taxonomy, and Analysis |
| title_sort | computer vision metrics survey taxonomy and analysis |
| topic | QA75.5-76.95 bic Book Industry Communication::U Computing & information technology::UY Computer science |
| topic_facet | QA75.5-76.95 bic Book Industry Communication::U Computing & information technology::UY Computer science |
| url | 27357 |
| work_keys_str_mv | AT scottkrig computervisionmetricssurveytaxonomyandanalysis |