Models for Shape Deformation
Alyson G. Wilson, Valen E. Johnson · 1996
Abstract Much work in Bayesian image analysis has focused on incorporating vague prior knowledge about an image into its analysis and on the calculation of appropriate estimates of the resulting posterior distribution. However, in the field of medical imaging, there is a need to incorporate specific prior information into many image analysis tasks. This paper discusses various models for shape deformation and proposes a model that accounts for features at multiple spatial resolutions.