Distance histogram to centroid as a unique feature to recognize objects
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http://hdl.handle.net/10045/656
Título: | Distance histogram to centroid as a unique feature to recognize objects |
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Autor/es: | Arques Corrales, Pilar | Molina-Carmona, Rafael | Pujol, Mar | Rizo, Ramón |
Grupo/s de investigación o GITE: | Informática Industrial e Inteligencia Artificial |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Palabras clave: | Feature extraction | Pattern recognition | Histogram | Centroid |
Área/s de conocimiento: | Ciencia de la Computación e Inteligencia Artificial |
Fecha de publicación: | feb-2006 |
Editor: | Institute for Systems and Technologies of Information, Control and Communication |
Cita bibliográfica: | 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 |
Resumen: | 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 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/bookPart |
Revisión científica: | si |
Aparece en las colecciones: | INV - i3a - Comunicaciones a Congresos, Conferencias, etc. INV - Smart Learning - Comunicaciones a Congresos, Conferencias, etc. |
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Archivo | Descripción | Tamaño | Formato | |
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Páginas de Visapp - Volume 1.pdf | 804,92 kB | Adobe PDF | Abrir Vista previa | |
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