MAP Estimation of Statistical Deformable Templates Via Nonlinear Mixed Effects Models : Deterministic and Stochastic Approaches
Abstract
In [1], a new coherent statistical framework for estimating statistical deformable templates relevant to computational anatomy (CA) has been proposed. This paper addresses the problem of population av- erage and estimation of the underlying geometrical variability as a MAP computation problem for which deterministic and stochastic approxima- tion schemes have been proposed. We illustrate some of the numerical issues with handwritten digit and 2D medical images and apply the es- timated models to classification through maximum likelihood.
Domains
Other [cs.OH]| Origin | Files produced by the author(s) |
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