Proceedings PaperSymbolic representation, modeling, and manipulation of arcs and lines
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From a computational perspective, a general vision problem is considered by many to be an ill-posed problem. Currently, the dominant approach to characterizing vision computations is to categorize the required processings into low, intermediate, and high levels. This paper adopts a structural approach to vision that couples symbolic and numerical methods and discusses the semantics, modeling, and manipulation of symbolic descriptions of arc and line image structures for vision applications. Collectively, this approach demonstrates a logical perspective on the processes that occur in low, intermediate, and high levels of vision computations.