Object Recognition

Object Recognition Fundamentals and Case Studies - Advances in Pattern Recognition

2002

Hardback (12 Dec 2001)

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Publisher's 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.

Book information

ISBN: 9781852333980
Publisher: Springer London
Imprint: Springer
Pub date:
Edition: 2002
DEWEY: 621.399
DEWEY edition: 21
Language: English
Number of pages: 544
Weight: 1530g
Height: 234mm
Width: 156mm
Spine width: 20mm