Recognizing planar objects using par reiss thomas (9 résultats)
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Softcover. Etat : Très bon. Ancien livre de bibliothèque. Petite(s) trace(s) de pliure sur la couverture. Légères traces d'usure sur la couverture. Une ou plusieurs pages légèrement déchirées. Edition 1993. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations ENGLISH DESCRIPTION Book Condition: Used, Very…good. Former library book. Slightly creased cover. Slight signs of wear on the cover. One or several slightly torn pages. Edition 1993. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Berlin, Springer 1993. X, 180 S., OKart. Oberer Schnitt leicht stockfleckig, sonst sehr gut.
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Given a familiar object extracted from its surroundings, wehumans have little difficulty in recognizing it irrespectiveof its size, position and orientation in our field of view.Changes in lighting and the effects of perspective also poseno problems. H…ow do we achieve this, and more importantly,how can we get a computer to do this One very promisingapproach is to find mathematical functions of an object'simage, or of an object's 3D description, that are invariantto the transformations caused by the object's motion.This book is devoted to the theory and practice of suchinvariant image features, so-called image invariants, forplanar objects. It gives a comprehensive summary of thefield, discussing methods for recognizing both occluded andpartially occluded objects, and also contains a definitivetreatmentof moment invariants and a tutorial introductionto algebraic invariants, which are fundamental to affinemoment invariants and to many projective invariants.A number of novel invariant functions are presented and theresults of numerous experiments investigating the stabilityof new and old invariants are discussed. The main conclusionis that moment invariants are very effective, both forpartially occluded objects and for recognizing objects ingrey-level images.
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Taschenbuch. Etat : Neu. 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.
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Paperback. Etat : Like New. Like New. book.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Given a familiar object extracted from its surroundings, wehumans have little difficulty in recognizing it irrespectiveof its size, position and orientation in our field of view.Changes in lighting and the effects of perspective also po…seno problems. How do we achieve this, and more importantly,how can we get a computer to do this One very promisingapproach is to find mathematical functions of an object'simage, or of an object's 3D description, that are invariantto the transformations caused by the object's motion.This book is devoted to the theory and practice of suchinvariant image features, so-called image invariants, forplanar objects. It gives a comprehensive summary of thefield, discussing methods for recognizing both occluded andpartially occluded objects, and also contains a definitivetreatmentof moment invariants and a tutorial introductionto algebraic invariants, which are fundamental to affinemoment invariants and to many projective invariants.A number of novel invariant functions are presented and theresults of numerous experiments investigating the stabilityof new and old invariants are discussed. The main conclusionis that moment invariants are very effective, both forpartially occluded objects and for recognizing objects ingrey-level images. 196 pp. Englisch.
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Given a familiar object extracted from its surroundings, wehumans 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch.
