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Deformetrica supports several types of objects. Several objects can be considered at the same time: see the `examples/atlas/landmark/3d/brain_structures` example for a demonstration. Note that image and mesh objects cannot be combined for the moment, this is scheduled for Defometrica 4.1.0.
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Deformetrica supports several types of objects. Several objects can be considered at the same time: see the `examples/atlas/landmark/3d/brain_structures` example for a demonstration. Note that image and mesh objects cannot be combined for the moment, this is scheduled for Defometrica 4.2.0.
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All meshes are expected to be in `vtk` format. We use our own `vtk` file reader. Don't hesitate to send us an email if some `vtk` format of mesh is not supported by our reader.
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... | ... | @@ -14,11 +14,11 @@ This object is composed of vertices connected by lines. The attachment-type for |
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This object is composed of vertices connected by triangles. The attachment-type for this object must be varifold, current or landmark. For the current distance, please make sure of the consistency of the orientation of the triangles of the mesh (using Paraview for instance). For the landmark distance, ensure there is correspondence between all the meshes.
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## PointCloud \[unstable\]
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## PointCloud
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This object is a collection of points, without point correspondence between different objects. This feature is still not fully available, and is scheduled for Deformetrica 4.1.0.
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This object is a collection of points, without point correspondence between different objects.
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<!-- The only attachment-type available is the Point cloud distance, no need to specify it in the model xml file. -->
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## Image
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This object is a grey-level image. It uses the $`\ell^2`$ distance. Note that in the case of images, a pixel/voxel is assumed to have dimension `1`, and the different kernel widths must be expressed in this unit. Note that when working only with images, Deformetrica implements a routine for placing the control points of the deformation, so that these control points do not lie on region of constant intensity of the template image, to save useless computations. |
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This object is a grey-level image. It uses the $`\ell^2`$ distance. Note that in the case of images, a pixel/voxel is assumed to have dimension `1`, and the different kernel widths must be expressed in this unit. |