Qualitative Spatial Relationships for Image Interpretation by Using Semantic Graph
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In this paper, a new way to express complex spatial relations is proposed in order to integrate them in a Constraint Satisfaction Problem with bilevel constraints. These constraints allow to build semantic graphs, which can describe more precisely the spatial relations between subparts of a composite object that we look for in an image. For example, it allows to express complex spatial relations such as GÇ£is surrounded byGÇØ. This approach can be applied to image interpretation and some examples on real images are presented
# | Istituto/Sede | Collocazione | Inventario patrimoniale |
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Area della ricerca di Genova, Servizio di Documentazione Scientifica | Sede di Genova |