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portada object recognition
object recognitionobject recognition
Type
Physical Book
Author
Publisher
Language
English
Pages
350
Format
Hardcover
Dimensions
24.0 x 16.3 x 2.8 cm
Weight
0.75 kg.
ISBN
1852333987
ISBN13
9781852333980
Categories

object recognition

M. Bennamoun (Author) · G. J. Mamic (Author) · Springer · Hardcover

object recognition - Bennamoun, M. ; Mamic, G. J.

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Synopsis "object 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.

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The binding of this edition is Hardcover.

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