Range Image Restoration Using Mean Field Annealing
نویسندگان
چکیده
The application which motivates this paper is image analysis; specifically the analysis of range images. We [BS86] [GS87] and others [YA85][BJ88] have found that surface curvature has the potential for providing an excellent, view-invariant feature with which to segment range images. Unfortunately, computation of curvature requires, in turn, computation of second derivatives of noisy data. We cast this task as a restoration problem: Given a measurement g(z, y), we assume that g(z, y) resulted from the addition of noise to some "ideal" image fez, y) which we must estimate from three things:
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