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Shape distribution approach to measure similarity of triangular meshes

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F18%3A00330478" target="_blank" >RIV/68407700:21220/18:00330478 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Shape distribution approach to measure similarity of triangular meshes

  • Original language description

    The need to measure a similarity between two 3D objects belongs to highly challenging problems in computer graphics. In this paper, a shape distributions approach based on three different shape functions is used to compute a similarity measure of triangular meshes obtained by optical scanning. The evaluation based on a measurement system analysis (MSA), a statistical method commonly used in quality management systems, is applied to assess the capability of individual shape distributions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10101 - Pure mathematics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    G - Slovenský časopis pre geometriu a grafiku

  • ISSN

    1336-524X

  • e-ISSN

  • Volume of the periodical

    15

  • Issue of the periodical within the volume

    30

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    8

  • Pages from-to

    43-50

  • UT code for WoS article

  • EID of the result in the Scopus database