Data and Model-Driven Selection Using Color Regions
Author(s)
Syeda-Mahmood, Tanveer Fathima
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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.
Date issued
1992-02-01Other identifiers
AIM-1270
Series/Report no.
AIM-1270
Keywords
selection, color, recognition, saliency, visual attention, sregion segmentation