Buch, Englisch, Band 628, 18 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g
Buch, Englisch, Band 628, 18 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 324 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-55798-2
Verlag: Springer Berlin Heidelberg
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Betriebssysteme Windows Betriebssysteme
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering Objektorientierte Softwareentwicklung
Weitere Infos & Material
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.
