Sinopsis
Relational matching is a method for finding the best correspondences 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.
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Reseña del editor
Relational matching is a method for finding the best correspondences 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.
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Relational Matching (Lecture Notes in Computer Science)
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Relational Matching (Lecture Notes in Computer Science 628)
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Condición: Good. *Price HAS BEEN REDUCED by 10% until Monday, June 29 (SALE item)* 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. Nº de ref. del artículo: ZB1073289
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Relational matching. Lecture notes in computer science; 628.
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Berlin, Springer, 1992
ISBN 10: 3540557989
ISBN 13: 9783540557982
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Relational Matching (Lecture Notes in Computer Science, 628)
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Relational Matching
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Relational Matching
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Springer Berlin Heidelberg Sep 1992, 1992
ISBN 10: 3540557989
ISBN 13: 9783540557982
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 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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Relational Matching
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Springer Berlin Heidelberg, 1992
ISBN 10: 3540557989
ISBN 13: 9783540557982
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Condición: 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. Nº de ref. del artículo: 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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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540557982
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Relational Matching
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540557982
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