Applied Graph Theory in Computer Vision and Pattern Recognition

Language: English

Published by Springer, Springer Nov 2010, 2010

3642087647 / 9783642087646

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This item is printed on demand - Print on Demand Titel. Neuware -Graph theory has strong historical roots in mathematics, especially in topology. Its birth is usually associated with the ¿four-color problem¿ posed by Francis Guthrie 1 in 1852, but its real origin probably goes back to the Seven Bridges of Konigsber ¿ g 2 problem proved by Leonhard Euler in 1736. A computational solution to these two completely different problems could be found after each problem was abstracted to the level of a graph model while ignoring such irrelevant details as country shapes or cross-river distances. In general, a graph is a nonempty set of points (vertices) and the most basic information preserved by any graph structure refers to adjacency relationships (edges) between some pairs of points. In the simplest graphs, edges do not have to hold any attributes, except their endpoints, but in more sophisticated graph structures, edges can be associated with a direction or assigned a label. Graph vertices can be labeled as well. A graph can be represented graphically as a drawing (vertex=dot,edge=arc),but,aslongaseverypairofadjacentpointsstaysconnected by the same edge, the graph vertices can be moved around on a drawing without changing the underlying graph structure. The expressive power of the graph models placing a special emphasis on c- nectivity between objects has made them the models of choice in chemistry, physics, biology, and other elds.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch.…

Seller Inventory # 9783642087646

Title
Applied Graph Theory in Computer Vision and Pattern Recognition
Author
Abraham Kandel
Publisher
Springer, Springer Nov 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3642087647
ISBN 13
9783642087646
Item weight
423 grams
Dimensions
235x155x16 mm

buchversandmimpf2000

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