Título:
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Multiscale combinatorial grouping
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Autor/a:
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Arbelaez, Pablo Andres; Pont Tuset, Jordi; Barron, Jonathan; Marqués Acosta, Fernando; Malik, Jitendra
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
Abstract:
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We propose a unified approach for bottom-up hierarchical image segmentation and object candidate generation for recognition, called Multiscale Combinatorial Grouping (MCG). For this purpose, we first develop a fast normalized cuts algorithm. We then propose a high-performance hierarchical segmenter that makes effective use of multiscale information. Finally, we propose a grouping strategy that combines our multiscale regions into highly-accurate object candidates by exploring efficiently their combinatorial space. We conduct extensive experiments on both the BSDS500 and on the PASCAL 2012 segmentation datasets, showing that MCG produces state-of-the-art contours, hierarchical regions and object candidates. |
Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo -Image processing -Image Segmentation -Object Candidates -Imatges -- Processament |
Derechos:
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Tipo de documento:
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Artículo - Versión presentada Objeto de conferencia |
Editor:
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Institute of Electrical and Electronics Engineers (IEEE)
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