Object Recognition: Fundamentals & Case Studies (Advances In Computer Vision And Pattern Recognition) - Couverture rigide

Bennamoun, M.; Mamic, G.J.

Couverture rigide

ISBN 10 : 1852333987 ISBN 13 : 9781852333980

Editeur : Springer London Ltd, 2001

Synopsis

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.

A propos du livre

Présentation de l'éditeur

This volume introduces the fundamental concepts and tools involved in the design and implementation of object recognition systems. Divided into three parts, it first introduces the topic and covers the acquisition of images, then details 3-D object reconstruction, modelling and matching, and finally describes typical recognition systems using case studies. Key features include: Extensive literature surveys of state-of-the-art systems Recognition will be essential reading for research scientists, advanced undergraduate and postgraduate students in computer vision, image processing and pattern classification. It will also be of interest to practitioners working in the field of computer vision.

Détails de l'édition

• Éditeur: Springer London Ltd
• Date d'édition: 2001
• Langue: anglais
• ISBN 10: 1852333987
• ISBN 13: 9781852333980
• Reliure: Relié
• Nombre de pages: 350
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne