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By this means, to change the density of the FEM mesh from a coarse mesh to a fine mesh is easily to be achieved.
This is a non-trivial task for two arbitrary meshes, but is significantly simplified here by deriving every mesh from a common coarsest initial mesh.
Our method constructs a 2D base mesh from a preliminary view partitioning, then lifts the base mesh into 3D in a fast vertex depth optimization.
The presented method is based on the mesh from a triangulated surface and therefore not restricted by the assumption of a mathematical differentiable surface description.
There are no known instances of anyone being injured by falling space debris (though in 1997, a woman in Oklahoma was brushed by a piece of mesh from a Delta 2 rocket booster that did her no harm).
The inverse of the normalization transformation was then used to warp a cortical mesh from a template brain in MNI space to each participant's MRI space [see Mattout et al., 2007, for further details].
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Among other things, doing so implies to be able to get a computational mesh from an implicitly-defined domain.
First, we use Freesurfer to register a labelled mesh from an average brain onto the brain of each subject, where each label corresponds to one of the 66 anatomical regions, providing for every subject a standardized partition of the cortex into 66 anatomical cortical regions.
They range from six to 24 inches in diameter, with meshes from a few microns to a full inch.
We demonstrate the superior effectiveness and robustness of our method on a dataset of 10,000 "real-world" meshes from a popular online repository.
The 3D scans were made using a photogrammetry application which creates 3D meshes from a series of photos of an object.
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