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Curve reconstruction: Connecting dots with good reason

MPG-Autoren
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Dey,  Tamal K.
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Mehlhorn,  Kurt
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

/persons/resource/persons45255

Ramos,  Edgar A.
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Zitation

Dey, T. K., Mehlhorn, K., & Ramos, E. A. (2000). Curve reconstruction: Connecting dots with good reason. Computational Geometry: Theory and Applications, 15(4), 229-244. doi:10.1016/S0925-7721(99)00051-6.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-000F-3362-F
Zusammenfassung
Curve reconstruction algorithms are supposed to reconstruct curves from point
samples. Recent papers present algorithms that come with a
guarantee: Given a sufficiently dense sample of a closed smooth curve,
the algorithms construct the correct
polygonal reconstruction. Nothing is claimed about the output of the
algorithms, if the input is not a dense sample of a closed smooth curve, e.g.,
a sample of a curve with endpoints.
We present an algorithm that comes with a guarantee for any set $P$ of
input points. The algorithm
constructs a polygonal reconstruction $G$ and a smooth curve $\Gamma$
that justifies $G$ as the reconstruction from $P$.