Shape Similarity Based on the Qualitative Spatial Reasoning Calculus eOPRAm

Autor:	Longin Jan Latecki, Christopher H. Dorr, Reinhard Moratz
Rok vydání:	2015
Předmět:	Theoretical computer science business.industry Spatial intelligence Similarity measure First-order logic Relative direction Qualitative reasoning Metric (mathematics) Similarity (psychology) Computer vision Artificial intelligence business Representation (mathematics) Mathematics
Zdroj:	Spatial Information Theory ISBN: 9783319233734 COSIT
DOI:	10.1007/978-3-319-23374-1_7
Popis:	In our paper we investigate the use of qualitative spatial representations QSR about relative direction and distance for shape representation. Our new approach has the advantage that we can generate prototypical shapes from our abstract representation in first-order predicate calculus. Using the conceptual neighborhood which is an established concept in QSR we can directly establish a conceptual neighborhood between shapes that translates into a similarity metric for shapes. We apply this similarity measure to a challenging computer vision problem and achieve promising first results.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::82f5e9ddc6457820ed2db1efaee5ca5f https://doi.org/10.1007/978-3-319-23374-1_7 Zobrazit plný text záznamu