Conservation-Minded Evolution of ShapeReport as inadecuate

Conservation-Minded Evolution of Shape

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Most natural and artificial systems rely heavily on vision to recognize, manipulate, and navigate within a world of objects. Although shape is a key element in this process, its representation and analysis have proved to be a difficult, multifaceted problem. A framework, based on conservation laws, which gives rise to computational elements for shape parts, protrusions, and bends, is proposed. The computation takes place in the context of a reaction-diffusion space and is highly robust. This scheme is ideally suited to object recognition and has applications in areas ranging from robotics to the psychology and the physiology of form.

Biomedical Imaging Lab Minerva Research Group -

Author: Kimia, Benjamin B. - Tannenbaum, Allen R. - Zucker, Steven W. - -


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