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Distance histogram to centroid as a unique feature to recognize objects

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dc.contributorInformática Industrial e Inteligencia Artificialen
dc.contributor.authorArques Corrales, Pilar-
dc.contributor.authorMolina-Carmona, Rafael-
dc.contributor.authorPujol, Mar-
dc.contributor.authorRizo, Ramón-
dc.contributor.otherUniversidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificialen
dc.date.accessioned2007-05-07T12:21:24Z-
dc.date.available2007-05-07T12:21:24Z-
dc.date.issued2006-02-
dc.identifier.citationARQUES CORRALES, Pilar, et al. “Distance histogram to centroid as a unique feature to recognize objects”. En: Proceedings of the First International Conference on Computer Vision Theory and Applications. Setúbal : Institute for Systems and Technologies of Information, Control and Communication, 2006. ISBN 972-8865-40-6, pp. 492-497en
dc.identifier.isbn972-8865-40-6-
dc.identifier.urihttp://hdl.handle.net/10045/656-
dc.description.abstractThe shape of objects plays an essential role among the different aspects of visual information. A 2D silhouette often conveys enough information to allow the correct recognition of the original 3D object. Distance Histogram to Centroid will be used as the unique feature to totally describe an object and to distinguish it from all the other objects in the scene. The proposed system has been proved to be robust to discriminate between classes in a given set of objects The main advantages are the elimination of the feature selection process and avoiding the problem of dimensionality.en
dc.languageengen
dc.publisherInstitute for Systems and Technologies of Information, Control and Communicationen
dc.subjectFeature extractionen
dc.subjectPattern recognitionen
dc.subjectHistogramen
dc.subjectCentroiden
dc.subject.otherCiencia de la Computación e Inteligencia Artificialen
dc.titleDistance histogram to centroid as a unique feature to recognize objectsen
dc.typeinfo:eu-repo/semantics/bookParten
dc.peerreviewedsien
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
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