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Combining Multiple Shape Matching Techniques with Application to Place Recognition Task

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00225261" target="_blank" >RIV/68407700:21230/15:00225261 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-16628-5_29" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16628-5_29</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-16628-5_29" target="_blank" >10.1007/978-3-319-16628-5_29</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Combining Multiple Shape Matching Techniques with Application to Place Recognition Task

  • Original language description

    Many methods have been proposed to solve the problem of shape matching, where the task is to determine similarity between given shapes. In this paper, we propose a novel method to combine many shape matching methods using procedural knowledge to increasethe precision of the shape matching process in retrieval problems like place recognition task. The idea of our approach is to assign the best matching method to each template shape providing the best classification for this template. The new incoming shape is compared against all templates using their assigned method. The proposed method increases the accuracy of the classification and decreases the time complexity in comparison to generic classifier combination methods.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

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

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Computer Vision - ACCV 2014 Workshops

  • ISBN

    978-3-319-16627-8

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    399-412

  • Publisher name

    National University of Singapore

  • Place of publication

    Singapore

  • Event location

    Singapore

  • Event date

    Nov 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000362452500029