Data and Model-Driven Selection Using Color Regions
dc.date.accessioned | 2004-10-04T14:25:38Z | |
dc.date.accessioned | 2018-11-24T10:11:26Z | |
dc.date.available | 2004-10-04T14:25:38Z | |
dc.date.available | 2018-11-24T10:11:26Z | |
dc.date.issued | 1992-02-01 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/5994 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/5994 | |
dc.description.abstract | 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. | en_US |
dc.format.extent | 29 p. | en_US |
dc.format.extent | 4497036 bytes | |
dc.format.extent | 1782485 bytes | |
dc.language.iso | en_US | |
dc.subject | selection | en_US |
dc.subject | color | en_US |
dc.subject | recognition | en_US |
dc.subject | saliency | en_US |
dc.subject | visual attention | en_US |
dc.subject | sregion segmentation | en_US |
dc.title | Data and Model-Driven Selection Using Color Regions | en_US |
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