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Object Recognition

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Object Recognition
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103,50 GBP
Typowa cena3 129,87 PLN
Najniższa (90 dni)117,69 PLN
Liczba ofert2
Ostatnia aktualizacja1 dzień temu
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Sprzedawca Cena produktu Dostawa Razem Dostępność Aktualizacja
SP SpringerNatureLink Shop INT 103,50 GBP 0 zł 103,50 GBP Dostępny 2 dni temu Zobacz ofertę
SP Springer Nature Author 21 449,00 JPY 15,00 JPY 21 464,00 JPY Dostępny 1 dzień temu Zobacz ofertę

Ceny i dostępność mogą ulec zmianie. Ostatnia aktualizacja: 08.08.2026 23:28.

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Automatie object recognition is a multidisciplinary research area using con­ cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from navigation (through the recognition of landmarks or signs), right through to communication (through the recognition of characters or people themselves). Hence, the motivations behind the construction of recognition systems, which have the ability to function in the real world, is unquestionable and would serve industrial (e.g. quality control), military (e.g. automatie target recognition) and community needs (e.g. aiding the visually impaired). Scope, Content and Organisation of this Book This book provides a comprehensive, yet readable foundation to the field of object recognition from which research may be initiated or guided. It repre­ sents the culmination of research topics that I have either covered personally or in conjunction with my PhD students. These areas include image acqui­ sition, 3-D object reconstruction, object modelling, and the matching of ob­ jects, all of which are essential in the construction of an object recognition system.

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