Representation and Control in Vision

One of the central issues in vision is how to represent and use knowledge relevant to understanding the image. Partly because vision is so difficult, and partly because even the cheapest solutions can still be so useful, approaches to vision problems have had a tendency to be ad hoc and heuristic. Recently, however, new thrusts in computer vision are emerging, most notably in the Image Understanding community, that try to pursue more systematic and computational approaches. [1]

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