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Graph-Based Representations in Pattern Recognition
Luc Brun
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Description for Graph-Based Representations in Pattern Recognition
Paperback. Series: Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics. Num Pages: 396 pages, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 21. Weight in Grams: 565.
Many vision problems have to deal with di?erent entities (regions, lines, line junctions, etc.) and their relationships. These entities together with their re- tionships may be encoded using graphs or hypergraphs. The structural inf- mation encoded by graphs allows computer vision algorithms to address both the features of the di?erent entities and the structural or topological relati- ships between them. Moreover, turning a computer vision problem into a graph problem allows one to access the full arsenal of graph algorithms developed in computer science. The Technical Committee (TC15, http://www.iapr.org/tcs.html) of the IAPR (International Association for Pattern Recognition) has been funded ... Read more
Many vision problems have to deal with di?erent entities (regions, lines, line junctions, etc.) and their relationships. These entities together with their re- tionships may be encoded using graphs or hypergraphs. The structural inf- mation encoded by graphs allows computer vision algorithms to address both the features of the di?erent entities and the structural or topological relati- ships between them. Moreover, turning a computer vision problem into a graph problem allows one to access the full arsenal of graph algorithms developed in computer science. The Technical Committee (TC15, http://www.iapr.org/tcs.html) of the IAPR (International Association for Pattern Recognition) has been funded ... Read more
Product Details
Format
Paperback
Publication date
2005
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
396
Condition
New
Series
Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Gra
Number of Pages
384
Place of Publication
Berlin, Germany
ISBN
9783540252702
SKU
V9783540252702
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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