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Graph Matching Techniques for Computer Vision

Graph Matching Techniques for Computer Vision

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Author(s): Mario Vento (Università di Salerno, Italy)and Pasquale Foggia (Università di Salerno, Italy)
Copyright: 2013
Pages: 41
Source title: Graph-Based Methods in Computer Vision: Developments and Applications
Source Author(s)/Editor(s): Xiao Bai (Beihang University, China), Jian Cheng (Chinese Academy of Sciences, China)and Edwin Hancock (University of York, UK)
DOI: 10.4018/978-1-4666-1891-6.ch001

Keywords: Artificial Intelligence / Computer Science & IT / Computer Vision & Image Processing / Engineering Science Reference

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Abstract

Many computer vision applications require a comparison between two objects, or between an object and a reference model. When the objects or the scenes are represented by graphs, this comparison can be performed using some form of graph matching. The aim of this chapter is to introduce the main graph matching techniques that have been used for computer vision, and to relate each application with the techniques that are most suited to it.

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