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Fast Mean Shift Algorithm Based on Discretisation and Interpolation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86076024" target="_blank" >RIV/61989100:27240/10:86076024 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fast Mean Shift Algorithm Based on Discretisation and Interpolation

  • Original language description

    A fast mean shift algorithm for processing the image data is presented. Although it is based on the known basic principles of the original mean shift method, it improves the computational speed substantially. It is being assumed that the spatial image coordinates and range coordinates can be discretised by introducing a regular grid. Firstly, the algorithm precomputes the values of shifts at the grid points. The mean shift iterations are then carried out by making use of the grid values and trilinear interpolation. Measured by the order of complexity, the values at all grid points can be precomputed in the time that is equal to the time required, in the original method, for computing only one mean shift iteration for all image points. The interpolationstep is computationally inexpensive. The experimental results confirming the theoretical expectations are presented. The use of the step kernel for computing the shifts, and the images with only a single value at each pixel are required.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/FR-TI1%2F262" target="_blank" >FR-TI1/262: *Research and development of equipment for marking of long products from metal</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS

  • ISBN

    978-3-642-17687-6

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

  • Publisher name

    Springer-Verlag Berlin Heidelberg

  • Place of publication

    Berlin Heidelberg

  • Event location

    Sydney

  • Event date

    Dec 13, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000287941400038