| Título: | Data and Model-Driven Selection Using Color Regions |
| Autores: | Syeda-Mahmood, Tanveer Fathima |
| Fecha: |
2004-10-04 2004-10-04 1992-02-01 |
| Publicador: | MIT |
| Fuente: |
 |
| Tipo: | |
| Tema: |
selection color recognition saliency visual attention sregion segmentation |
| Descripción: | A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper we present an approach that extracts and uses color region information to perform selection either based solely on image- data (data-driven), or based on the knowledge of the color description of the model (model -driven). The paper presents a method of perceptual color specification by color categories to extract perceptual color regions. It also discusses the utility of color-based selection in reducing the search involved in recognition. |
| Idioma: | Inglés |
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