Graph-Based Representations in Pattern Recognition

Andrea Torsello

ISBN 10: 3642021239 / ISBN 13: 9783642021237

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Mai 2009, 2009

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Neuware -This volume contains the papers presented at the 7th IAPR-TC-15 Workshop onGraph-BasedRepresentationsinPatternRecognition¿ GbR2009.Thewo- shop was held in Venice, Italy between May 26¿28, 2009. The previous wo- shops in the series were held in Lyon, France (1997), Haindorf, Austria (1999), Ischia, Italy (2001), York, UK (2003), Poitiers, France (2005), and Alicante, Spain (2007). The Technical Committee (TC15, greyc.ensicaen.fr/iapr-tc15/) of the IAPR (International Association for Pattern Recognition) was founded in order to federate and to encourage research work at the intersection of pattern recognition and graph theory. Among its activities, the TC15 encourages the organization of special graph sessions in many computer vision conferences and organizes the biennial GbR Workshop. The scienti c focus of these workshops coversresearchin pattern recognition and image analysis within the graph theory framework. This workshop series traditionally provide a forum for presenting and discussing research results and applications in the intersection of pattern recognition, image analysis and graph theory.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch. Codice articolo 9783642021237

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Titolo: Graph-Based Representations in Pattern ...

Casa editrice: Springer Berlin Heidelberg, Springer Berlin Heidelberg Mai 2009

Data di pubblicazione: 2009

Legatura: Taschenbuch

Condizione: Neu

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Riassunto:

This book constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009.
The 37 revised full papers presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on graph-based representation and recognition, graph matching, graph clustering and classification, pyramids, combinatorial maps, and homologies, as well as graph-based segmentation.