Abstract
In this paper we introduce a method for reconstruction of 3D objects from their 1D parallel cross-sections by set-valued interpolation. We regard a 3D object as the graph of a set-valued function defined on a planar domain, with the given 1D cross-sections as its samples. The method is based on a triangulation T of the sampling points in the planar domain and it is modular: for each triangle in T the corresponding 1D cross-sections are geometrically interpolated by a union of polyhedrons. The union of these interpolants over all triangles of T constitutes the approximating 3D object. Properties of this approximation are studied, in particular we derive the approximation order of the error, measured by the symmetric difference metric.
Original language | English |
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Article number | 112466 |
Journal | Journal of Computational and Applied Mathematics |
Volume | 368 |
DOIs | |
State | Published - Apr 2020 |
Keywords
- 1D samples
- Approximation order
- Bivariate set-valued functions
- Interpolation
- Reconstruction of 3D objects
- Symmetric difference metric
All Science Journal Classification (ASJC) codes
- Computational Mathematics
- Applied Mathematics