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Recognizing Planar Objects Using Invariant Image Features. Lecture Notes in Computer Science, Band 676
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Recognizing Planar Objects Using Invariant Image Features Lecture Notes in Computer Science
ISBN: 9783540567134 bzw. 3540567135, in Deutsch, Springer, Taschenbuch, neu.
Paperback. 186 pages. Dimensions: 9.1in. x 6.1in. x 0.6in.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 objects image, or of an objects 3D description, that are invariant to the transformations caused by the objects 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.
Recognizing Planar Objects Using Invariant Image Features (Paperback) (1993)
ISBN: 9783540567134 bzw. 3540567135, in Deutsch, Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English Brand New Book ***** Print on Demand *****.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.
Recognizing Planar Objects Using Invariant Image Features
ISBN: 9783540567134 bzw. 3540567135, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
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. Soft cover.
Recognizing Planar Objects Using Invariant Image Features
ISBN: 9783540476344 bzw. 3540476342, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
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. eBook.
Recognizing Planar Objects Using Invariant Image Features (2015)
ISBN: 9783540567134 bzw. 3540567135, in Deutsch, SPRINGER VERLAG GMBH 01/05/2015, Taschenbuch, neu.
New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. This item is printed on demand.
Recognizing Planar Objects Using Invariant Image Features (1993)
ISBN: 9783540567134 bzw. 3540567135, vermutlich in Englisch, Springer, Berlin/Heidelberg, Deutschland, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Recognizing Planar Objects Using Invariant Image Features
ISBN: 9783540476344 bzw. 3540476342, in Deutsch, Springer Nature, neu, E-Book.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen