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Fast corner point detection through machine learning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F11%3APU97839" target="_blank" >RIV/00216305:26230/11:PU97839 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fast corner point detection through machine learning

  • Original language description

    The subject of this paper is the procedure of corner point detection using Machine learning algorithms. The paper compares from many points of view the success of the classical corner point detector and the detector obtained by WaldBoost algorithm.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/7H10011" target="_blank" >7H10011: Robust & Safe Mobile Co-operative Autonomous Systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • 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 17th Conference STUDENT EEICT 2011

  • ISBN

    978-80-214-4273-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    537-541

  • Publisher name

    Brno University of Technology

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 28, 2011

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article