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They derive mostly from the statistical shape of the world as we have experienced it in the past.
Open image in new window Fig. 12 Statistical shape models.
Statistical shape models impose hard restriction on the segmentation outcome by integrating prior shape.
A statistical shape model of the head is created from a set of 100 MRI scans.
This includes de-noising, template fitting, landmark identification, and statistical shape analysis.
With statistical shape models, shape can be characterized in terms of independent modes of variation.
AAM[12] is an algorithm for matching a statistical shape model to an image with both shape and appearance variations.
The authors' method is based on a shape space vector derived from a statistical shape model for 3D range data.
Statistical shape analysis techniques have shown to be efficient tools to build population specific models of anatomical variability.
Statistical shape analysis is a tool that allows to quantify the shape variability of a population of shapes.
These cases are usually disregarded in statistical shape models as they are outnumbered by frequent cases (effect of class population).
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