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Data and Model-Driven Selection Using Color Regions
(1992-02-01)
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 ...
What Makes a Good Feature?
(1992-04-01)
Using a Bayesian framework, we place bounds on just what features are worth computing if inferences about the world properties are to be made from image data. Previously others have proposed that useful features reflect ...