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Affine Moment Invariants of Tensor Fields

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00571260" target="_blank" >RIV/67985556:_____/23:00571260 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-31435-3_20" target="_blank" >http://dx.doi.org/10.1007/978-3-031-31435-3_20</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-31435-3_20" target="_blank" >10.1007/978-3-031-31435-3_20</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Affine Moment Invariants of Tensor Fields

  • Original language description

    Tensor fields (TF) are a special kind of multidimensional data, in which a tensor is given for each point in space. Often, it is a 3 × 3 array in each voxel. To detect the patterns of interest in the field, special matching methods must be developed. We propose a method for the description and matching of TF patterns under an unknown affine transformation of the field. Transformations of TFs act not only in the spatial coordinates but also on the field values, which makes the detection more challenging. To measure the similarity between the template and the field patch, we propose original invariants with respect to affine transformations designed from moments. Their performance is demonstrated by experiments on real data from diffusion tensor imaging.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20206 - Computer hardware and architecture

Result continuities

  • Project

    <a href="/en/project/GA21-03921S" target="_blank" >GA21-03921S: Inverse problems in image processing</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Image Analysis: 23rd Scandinavian Conference, SCIA 2023

  • ISBN

    978-3-031-31437-7

  • ISSN

  • e-ISSN

  • Number of pages

    15

  • Pages from-to

    299-313

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Levi

  • Event date

    Apr 18, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article