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Curve reconstruction from a set of measured points

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F21%3A00349630" target="_blank" >RIV/68407700:21220/21:00349630 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.21136/panm.2020.05" target="_blank" >https://doi.org/10.21136/panm.2020.05</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21136/panm.2020.05" target="_blank" >10.21136/panm.2020.05</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Curve reconstruction from a set of measured points

  • Original language description

    A method of cubic spline curve fitting to a set of points passing at the prescribed distance from the input points obtained by measurement on acoordinate measuring machine is described. When reconstructing the shape of the measured object from the points obtained by real measurements, it is always necessary to consider the measurement uncertainty (tenths to tens of micrometers). This uncertainty is not zero, therefore interpolation methods where the resulting curve passes through the given points do not lead to acceptable results in practice. Also, conventional B-spline approximation methods cannot be used because, for real distances between the measured points (tenths to units of milimeters), the distance of the input data from the resulting approximation curve is much greater than the measurement uncertainty considered. The proposed reconstruction method allows to control the maximum distance of the resulting curve from the input data and thus to respect the uncertainty with which the input data was obtained.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    PANM 20 Programs and Algorithms of Numerical Mathematics

  • ISBN

    978-80-85823-71-4

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    50-58

  • Publisher name

    Matematický ústav AV ČR, v. v. i.

  • Place of publication

    Praha

  • Event location

    Hejnice

  • Event date

    Jun 21, 2020

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000672803500005