Recognizing Planar Objects Using Invariant Image Features

Name: Recognizing Planar Objects Using Invariant Image Features
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540567134
Price: 199.67 PLN
Availability: InStock

Autor: Thomas H. Reiss

Język:

Oprawa: Miękka

Wydawca: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostępność: Dostępna u dostawcy

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Given a familiar object extracted from its surroundings, we§humans have little difficulty in recogni...

Informacje o książce

Autor

Thomas H. Reiss

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

1993

strony

186

EAN

9783540567134

ISBN

3540567135

Enbook ID

05274308

Wydawca

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Waga

640

Wymiary

216 x 279 x 10

Pełny opis

Given a familiar object extracted from its surroundings, we§humans have little difficulty in recognizing it irrespective§of its size, position and orientation in our field of view.§Changes in lighting and the effects of perspective also pose§no problems. How do we achieve this, and more importantly,§how can we get a computer to do this? One very promising§approach is to find mathematical functions of an object's§image, or of an object's 3D description, that are invariant§to the transformations caused by the object's motion.§This book is devoted to the theory and practice of such§invariant image features, so-called image invariants, forplanar objects. It gives a comprehensive summary of the§field, discussing methods for recognizing both occluded and§partially occluded objects, and also contains a definitive§treatmentof moment invariants and a tutorial introduction§to algebraic invariants, which are fundamental to affine§moment invariants and to many projective invariants.§A number of novel invariant functions are presented and the§results of numerous experiments investigating the stability§of new and old invariants are discussed. The main conclusion§is that moment invariants are very effective, both for§partially occluded objects and for recognizing objects in§grey-level images.

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