Sinossi
Relational matching is a method for finding the bestcorrespondences betweenstructural descriptions. It iswidely used in computer vision for the recognition andlocation of objects in digital images. For this purpose, thedigital images and the object models are represented bystructural descriptions. The matching algorithm then has todetermine which image elements and object model partscorrespond.This book is the result of abasic study of relationalmatching. The book focuses particularly on the evaluation ofcorrespondences. In order to find the best match, one needsa measure to evaluate the quality of a match. The authorreviews the evaluation measures that have been suggestedover the past few decades and presents a new measure basedon information theory. The resulting theorycombinesmatching strategies, information theory, and tree searchmethods. For the benefit of the reader, comprehensiveintroductions are given to all these topics.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Contenuti
Computer vision and matching.- A classification of matching methods.- Formal description of relational matching.- Problem definition and contributions of the thesis.- Information theory:Selected Topics.- Evaluation of mappings between relational descriptions.- Tree search methods and heuristics.- Relational image and model description.- Evaluation functions for object location.- Strategy and performance of the tree search for object location.- Summary and discussion.
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Relational Matching (Lecture Notes in Computer Science)
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Paperback. Condizione: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. Text block clean and unmarked. Tight binding. Codice articolo UTD14a2314
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Relational Matching (Lecture Notes in Computer Science 628)
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Condizione: Good. 190 pp., Paperback, ex library, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Codice articolo ZB1073289
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Relational matching. Lecture notes in computer science; 628.
Da: Antiquariat Bookfarm, Löbnitz, Germania
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Softcover. 190 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. L13482 9783540557982 Sprache: Englisch Gewicht in Gramm: 360. Codice articolo 2534865
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Relational Matching (Lecture Notes in Computer Science, 628)
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Relational Matching
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Relational Matching
Editore:
Springer Berlin Heidelberg Sep 1992, 1992
ISBN 10: 3540557989
ISBN 13: 9783540557982
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Relational matching is a method for finding the bestcorrespondences betweenstructural descriptions. It is widely used in computer vision for the recognition and location of objects in digital images. For this purpose, the digital images and the object models are represented by structural descriptions. The matching algorithm then has to determine which image elements and object model parts correspond. This book is the result of abasic study of relational matching. The book focuses particularly on the evaluation of correspondences. In order to find the best match, one needs a measure to evaluate the quality of a match. The author reviews the evaluation measures that have been suggested over the past few decades and presents a new measure based on information theory. The resulting theorycombines matching strategies, information theory, and tree search methods. For the benefit of the reader, comprehensive introductions are given to all these topics. 208 pp. Englisch. Codice articolo 9783540557982
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Relational Matching
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Springer-Verlag Berlin And Heidelberg Gmbh & Co. Kg, 1992
ISBN 10: 3540557989
ISBN 13: 9783540557982
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Paperback. Condizione: Brand New. 1992 edition. 190 pages. 9.53x6.30x0.55 inches. In Stock. Codice articolo x-3540557989
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Relational Matching
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Relational matching is a method for finding the bestcorrespondences betweenstructural descriptions. It iswidely used in computer vision for the recognition andlocation of objects in digital images. For this purpose, thedigital images and the object. Codice articolo 4893734
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Relational Matching
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Springer, Springer Sep 1992, 1992
ISBN 10: 3540557989
ISBN 13: 9783540557982
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Relational matching is a method for finding the bestcorrespondences betweenstructural descriptions. It is widely used in computer vision for the recognition and location of objects in digital images. For this purpose, the digital images and the object models are represented by structural descriptions. The matching algorithm then has to determine which image elements and object model parts correspond. This book is the result of abasic study of relational matching. The book focuses particularly on the evaluation of correspondences. In order to find the best match, one needs a measure to evaluate the quality of a match. The author reviews the evaluation measures that have been suggested over the past few decades and presents a new measure based on information theory. The resulting theorycombines matching strategies, information theory, and tree search methods. For the benefit of the reader, comprehensive introductions are given to all these topics.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch. Codice articolo 9783540557982
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Relational Matching
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Relational matching is a method for finding the bestcorrespondences betweenstructural descriptions. It iswidely used in computer vision for the recognition andlocation of objects in digital images. For this purpose, thedigital images and the object models are represented bystructural descriptions. The matching algorithm then has todetermine which image elements and object model partscorrespond.This book is the result of abasic study of relationalmatching. The book focuses particularly on the evaluation ofcorrespondences. In order to find the best match, one needsa measure to evaluate the quality of a match. The authorreviews the evaluation measures that have been suggestedover the past few decades and presents a new measure basedon information theory. The resulting theorycombinesmatching strategies, information theory, and tree searchmethods. For the benefit of the reader, comprehensiveintroductions are given to all these topics. Codice articolo 9783540557982
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