TY - JOUR
T1 - Approximation of 3D objects by piecewise linear geometric interpolants of their 1D cross-sections
AU - Dyn, Nira
AU - Farkhi, Elza
AU - Keinan, Shirley
N1 - Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2020/4
Y1 - 2020/4
N2 - 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.
AB - 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.
KW - 1D samples
KW - Approximation order
KW - Bivariate set-valued functions
KW - Interpolation
KW - Reconstruction of 3D objects
KW - Symmetric difference metric
UR - http://www.scopus.com/inward/record.url?scp=85072985733&partnerID=8YFLogxK
U2 - 10.1016/j.cam.2019.112466
DO - 10.1016/j.cam.2019.112466
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AN - SCOPUS:85072985733
SN - 0377-0427
VL - 368
JO - Journal of Computational and Applied Mathematics
JF - Journal of Computational and Applied Mathematics
M1 - 112466
ER -