Advances in Object Recognition Systems
An invariant object recognition system needs to be able to recognise the object under any usual a priori defined distortions such as translation, scaling and in-plane and out-of-plane rotation. Ideally, the system should be able to recognise (detect and classify) any complex scene of objects even wi...
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| Formato: | Online |
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| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2021
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| Materias: | |
| Acceso en línea: | ONIX_20210420_9789535105985_1431 |
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| _version_ | 1869521901193265152 |
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| collection | Directory of Open Access Books |
| description | An invariant object recognition system needs to be able to recognise the object under any usual a priori defined distortions such as translation, scaling and in-plane and out-of-plane rotation. Ideally, the system should be able to recognise (detect and classify) any complex scene of objects even within background clutter noise. In this book, we present recent advances towards achieving fully-robust object recognition. The relation and importance of object recognition in the cognitive processes of humans and animals is described as well as how human- and animal-like cognitive processes can be used for the design of biologically-inspired object recognition systems. Colour processing is discussed in the development of fully-robust object recognition systems. Examples of two main categories of object recognition systems, the optical correlators and pure artificial neural network architectures, are given. Finally, two examples of object recognition's applications are described in details. With the recent technological advancements object recognition becomes widely popular with existing applications in medicine for the study of human learning and memory, space science and remote sensing for image analysis, mobile computing and augmented reality, semiconductors industry, robotics and autonomous mobile navigation, public safety and urban management solutions and many more others. This book is a "must-read" for everyone with a core or wider interest in this "hot" area of cutting-edge research. |
| format | Online |
| id | doab-20.500.12854ir-66073 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-660732024-04-14T10:28:28Z Advances in Object Recognition Systems Kypraios, Ioannis Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision An invariant object recognition system needs to be able to recognise the object under any usual a priori defined distortions such as translation, scaling and in-plane and out-of-plane rotation. Ideally, the system should be able to recognise (detect and classify) any complex scene of objects even within background clutter noise. In this book, we present recent advances towards achieving fully-robust object recognition. The relation and importance of object recognition in the cognitive processes of humans and animals is described as well as how human- and animal-like cognitive processes can be used for the design of biologically-inspired object recognition systems. Colour processing is discussed in the development of fully-robust object recognition systems. Examples of two main categories of object recognition systems, the optical correlators and pure artificial neural network architectures, are given. Finally, two examples of object recognition's applications are described in details. With the recent technological advancements object recognition becomes widely popular with existing applications in medicine for the study of human learning and memory, space science and remote sensing for image analysis, mobile computing and augmented reality, semiconductors industry, robotics and autonomous mobile navigation, public safety and urban management solutions and many more others. This book is a "must-read" for everyone with a core or wider interest in this "hot" area of cutting-edge research. 2021-04-20T15:33:25Z 2021-04-20T15:33:25Z 2012 book ONIX_20210420_9789535105985_1431 9789535105985 9789535156468 https://directory.doabooks.org/handle/20.500.12854/66073 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/1976/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/2392 10.5772/2392 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789535105985 9789535156468 IntechOpen 184 open access |
| spellingShingle | Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision Advances in Object Recognition Systems |
| title | Advances in Object Recognition Systems |
| title_full | Advances in Object Recognition Systems |
| title_fullStr | Advances in Object Recognition Systems |
| title_full_unstemmed | Advances in Object Recognition Systems |
| title_short | Advances in Object Recognition Systems |
| title_sort | advances in object recognition systems |
| topic | Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision |
| topic_facet | Image processing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision |
| url | ONIX_20210420_9789535105985_1431 |