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Mutual Information-Based Texture Spectral Similarity Criterion

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00510483" target="_blank" >RIV/67985556:_____/19:00510483 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-33720-9_23" target="_blank" >http://dx.doi.org/10.1007/978-3-030-33720-9_23</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-33720-9_23" target="_blank" >10.1007/978-3-030-33720-9_23</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mutual Information-Based Texture Spectral Similarity Criterion

  • Original language description

    Fast novel texture spectral similarity criterion, capable of assessing spectral modeling resemblance of color and Bidirectional Texture Functions (BTF) textures, is presented. The criterion reliably compares the multi-spectral pixel values of two textures, and thus it allows to assist an optimal modeling or acquisition setup development by comparing the original data with its synthetic simulations. The suggested criterion, together with existing alternatives, is extensively tested in a long series of thousands specially designed monotonically degrading experiments moreover, successfully compared on a wide variety of color and BTF textures.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/GA19-12340S" target="_blank" >GA19-12340S: Surface material recognition under variable optical observation conditions</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019)

  • ISBN

    978-3-030-33719-3

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    13

  • Pages from-to

    302-314

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Lake Tahoe

  • Event date

    Oct 7, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article