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Randomized RANSAC with Sequential Probability Ratio Test

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03114017" target="_blank" >RIV/68407700:21230/05:03114017 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Randomized RANSAC with Sequential Probability Ratio Test

  • Original language description

    A randomized model verification strategy for RANSAC is presented. The proposed method finds, like RANSAC, a solution that is optimal with user-controllable probability. A provably optimal model verification strategy is designed for the situation when thecontamination of data by outliers is known, i.e. the algorithm is the fastest possible (on average) of all randomized RANSAC algorithms guaranteeing confidence in the solution. The derivation of the optimality property is based on Wald.s theory of sequential decision making. The R-RANSAC with SPRT, which does not require the a priori knowledge of the fraction of outliers and has results close to the optimal strategy, is introduced. We show experimentally that on standard test data the method is 2 to 10times faster than the standard RANSAC and up to 4 times faster than previously published methods.

  • Czech name

    Není k dispozici

  • Czech description

    Není k dispozici

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>

  • Continuities

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

Others

  • Publication year

    2005

  • 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 IEEE International Conference on Computer Vision (ICCV)

  • ISBN

    0-7695-2334-X

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1727-1732

  • Publisher name

    IEEE Computer Society Press

  • Place of publication

    New York

  • Event location

    Bejing

  • Event date

    Oct 15, 2005

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article