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.
General
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