Statistical Shape Models in Image Analysis
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Abstract : We discuss several models for shapes in the plane based on the distributions of landmarks about an underlying template. The motivation for these models includes Markov random fields and thin plate splines. These models are used as priors in a Bayesian framework to reconstruct a shape from a digital image. An example is given based on the human hand