Object Recognition: Fundamentals and Case Studies
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 algorit...
Gespeichert in:
| Hauptverfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
2002
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| Ausgabe: | 1st ed. 2002 |
| Schriftenreihe: | Advances in Computer Vision and Pattern Recognition
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| Schlagworte: | |
| Online-Zugang: | UBY01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XIV, 350 p) |
| ISBN: | 9781447137221 |
| DOI: | 10.1007/978-1-4471-3722-1 |
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| spelling | Bennamoun, M. Verfasser aut Object Recognition Fundamentals and Case Studies by M. Bennamoun, G.J. Mamic 1st ed. 2002 London Springer London 2002 1 Online-Ressource (XIV, 350 p) txt rdacontent c rdamedia cr rdacarrier Advances in Computer Vision and Pattern Recognition 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 Image Processing and Computer Vision Pattern Recognition Computer Graphics Artificial Intelligence Optical data processing Pattern recognition Computer graphics Artificial intelligence Objekterkennung (DE-588)4314334-9 gnd rswk-swf Objekterkennung (DE-588)4314334-9 s DE-604 Mamic, G.J. aut Erscheint auch als Druck-Ausgabe 9781447137245 Erscheint auch als Druck-Ausgabe 9781852333980 Erscheint auch als Druck-Ausgabe 9781447137238 https://doi.org/10.1007/978-1-4471-3722-1 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Bennamoun, M. Mamic, G.J Object Recognition Fundamentals and Case Studies Image Processing and Computer Vision Pattern Recognition Computer Graphics Artificial Intelligence Optical data processing Pattern recognition Computer graphics Artificial intelligence Objekterkennung (DE-588)4314334-9 gnd |
| subject_GND | (DE-588)4314334-9 |
| title | Object Recognition Fundamentals and Case Studies |
| title_auth | Object Recognition Fundamentals and Case Studies |
| title_exact_search | Object Recognition Fundamentals and Case Studies |
| title_exact_search_txtP | Object Recognition Fundamentals and Case Studies |
| title_full | Object Recognition Fundamentals and Case Studies by M. Bennamoun, G.J. Mamic |
| title_fullStr | Object Recognition Fundamentals and Case Studies by M. Bennamoun, G.J. Mamic |
| title_full_unstemmed | Object Recognition Fundamentals and Case Studies by M. Bennamoun, G.J. Mamic |
| title_short | Object Recognition |
| title_sort | object recognition fundamentals and case studies |
| title_sub | Fundamentals and Case Studies |
| topic | Image Processing and Computer Vision Pattern Recognition Computer Graphics Artificial Intelligence Optical data processing Pattern recognition Computer graphics Artificial intelligence Objekterkennung (DE-588)4314334-9 gnd |
| topic_facet | Image Processing and Computer Vision Pattern Recognition Computer Graphics Artificial Intelligence Optical data processing Pattern recognition Computer graphics Artificial intelligence Objekterkennung |
| url | https://doi.org/10.1007/978-1-4471-3722-1 |
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