Synopsis
Relational matching is a method for finding the best correspondences between structural 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 a basic 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 theory combines 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 628)
Published by
Springer-Verlag, Berlin, 1992
ISBN 10: 0387557989
ISBN 13: 9780387557984
Used
Paperback
Seller: PsychoBabel & Skoob Books, Didcot, United Kingdom
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Paperback. Condition: Very Good. Dust Jacket Condition: No Dust Jacket. Lecture Notes in Computer Science 628; Ex-Library. Previous owner's sticker on the front cover. Library catalogue sticker inside front cover. Faintly bumped spine head and rubbed corners. Foot of page block slightly grubby and marked due to age. Sound, clean book with tight binding. ADG. Ex-Library. Seller Inventory # 094527
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