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Wavelet Transform Based Feature Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89532" target="_blank" >RIV/00216305:26230/10:PU89532 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Wavelet Transform Based Feature Detection

  • Original language description

    <div>This paper presents a new method of the local image feature detection. The method is based&nbsp;on a corner detection on top of a stationary wavelet transform. The point of this method is that&nbsp;the corner detector is applied on partial derivatives obtained from the wavelet transform. Thus,&nbsp;edges are obtained at different scales. A position of the detected corner can be estimated with&nbsp;sub-pixel accuracy. The proposed method can be used as part of a robust feature extractor.</div>

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 16th Conference STUDENT EEICT 2010

  • ISBN

    978-80-214-4080-7

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    Brno University of Technology

  • Place of publication

    Brno

  • Event location

    FEKT VUT v Brně

  • Event date

    Apr 29, 2010

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article