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Content-Adaptive 3D
Mesh Modeling for Representation of Volumetric Images
Mesh modeling of an image involves
partitioning the image domain into a collection of non-overlapping patches,
called mesh elements. The image function is then determined over each element
through interpolation. A critical issue in mesh modeling is how to determine
the mesh structure in a mesh model for a given image.
In this paper we propose a fully 3D
approach for content-adaptive mesh generation. Based on a result derived
on the error bound for a 3D mesh representation, we design an algorithm
that aims to adaptively distribute mesh nodes (hence mesh elements) in
the 3D image domain in such a way that the error level achieved by the
mesh representation is kept small over individual elements.
In next three figure visualization
of the spatial placement of mesh structure nodal positions with respect
to the volumetric objects are shown. This allows us to examine location
of nodes in respect to the object boundaries and intuitively evaluate the
algorithms. Clearly, for lower interpolation error, the mesh structure
nodes should be place around the object boundaries.
Nodal position are showed as white
dots.
For more information refer to:
Content-Adaptive
3D Mesh Modeling for Representation of Volumetric Images
Jovan G. Brankov, Yongyi Yang, and
Miles N. Wernick
IEEE ICIP02 September 22-25, 2002
Rochester, New York, USA |
