Affine image region detection and description

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Título: Affine image region detection and description
Autor/es: Vázquez Martín, Ricardo | Marfil Robles, Rebeca | Bandera Rubio, Antonio
Palabras clave: Salient regions | Feature detection | Affine invariant regions | Feature description
Área/s de conocimiento: Ciencia de la Computación e Inteligencia Artificial
Fecha de publicación: ene-2010
Editor: Red de Agentes Físicos
Cita bibliográfica: VÁZQUEZ MATÍN, R.; MARFIL, R.; BANDERA, A. “Affine image region detection and description”. Journal of Physical Agents. Vol. 4, No. 1 (Jan. 2010). ISSN 1888-0258, pp. 45-54
Resumen: This paper describes a novel approach for affine invariant region detection and description. At the detection stage, a hierarchical clustering mechanism is employed to group image pixels into regions. This process is based on the Bounded Irregular Pyramid (BIP) and takes into account a colour contrast measure, internal region descriptors and attributes of their shared boundaries. High-contrasted regions are selected as salient regions. On the other hand, geometrically and photometrically normalized regions are represented by a kernel-based descriptor. The lenght descriptor is reduced by applying Principal Component Analysis (PCA). The protocol proposed by Mikolajczyk et al. has been conducted to compare the proposed approach with other similar methods. Experimental results prove that the performance of our proposal is high in terms of computational consuming and distinguished region detection and description abilities.
Patrocinador/es: This work has been partially granted by the Spanish Ministerio de Ciencia e Innovación (MCINN) and FEDER funds, and by Junta de Andalucía, under projects no. TIN2008-06196 and P07-TIC-03106, respectively.
URI: http://hdl.handle.net/10045/13295 | http://dx.doi.org/10.14198/JoPha.2010.4.1.07
ISSN: 1888-0258
DOI: 10.14198/JoPha.2010.4.1.07
Idioma: eng
Tipo: info:eu-repo/semantics/article
Revisión científica: si
Aparece en las colecciones:Journal of Physical Agents - 2010, Vol. 4, No. 1

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