Recognizing Planar Objects Using Invariant Image Features

Thomas H. Reiss

ISBN 10: 3540567135 / ISBN 13: 9783540567134

Published by Springer, 1993

About this Item

Recognizing Planar Objects Using Invariant Image Features | Thomas H. Reiss | Taschenbuch | x | Englisch | 1993 | Springer | EAN 9783540567134 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 102283900

Bibliographic Details

• Title: Recognizing Planar Objects Using Invariant Image Features
• Publisher: Springer
• Publication Date: 1993
• Language: English
• ISBN 10: 3540567135
• ISBN 13: 9783540567134
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 11D millimeters 235 millimeters width by 155 millimeters height by 11 millimeters depth
• Weight: 306 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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, for planar 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.