Distance histogram to centroid as a unique feature to recognize objects

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/656
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Title: Distance histogram to centroid as a unique feature to recognize objects
Authors: Arques Corrales, Pilar | Molina-Carmona, Rafael | Pujol, Mar | Rizo, Ramón
Research Group/s: Informática Industrial e Inteligencia Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Feature extraction | Pattern recognition | Histogram | Centroid
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Issue Date: Feb-2006
Publisher: Institute for Systems and Technologies of Information, Control and Communication
Citation: ARQUES 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. 492-497
Abstract: The 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.
URI: http://hdl.handle.net/10045/656
ISBN: 972-8865-40-6
Language: eng
Type: info:eu-repo/semantics/bookPart
Peer Review: si
Appears in Collections:INV - i3a - Comunicaciones a Congresos, Conferencias, etc.

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