Randomized RANSAC with T_d,d test

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03103427" target="_blank" >RIV/68407700:21230/04:03103427 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Randomized RANSAC with T_d,d test

Original language description

Many computer vision algorithms include a robust estimation step where model parameters are computed from a data set containing a significant proportion of outliers. The RANSAC algorithm is possibly the most widely used robust estimator in the field of computer vision. In the paper we show that under a broad range of conditions, RANSAC efficiency is significantly improved if its hypothesis evaluation step is randomized.

Czech name

Není k dispozici

Czech description

Není k dispozici

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GA102%2F02%2F1539" target="_blank" >GA102/02/1539: Recognition of faces (in unconstrained environments) from a single example image</a><br>

Continuities

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

Publication year

2004

Confidentiality

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

Name of the periodical

Image and Vision Computing

ISSN

0262-8856

e-ISSN

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Volume of the periodical

22

Issue of the periodical within the volume

10

Country of publishing house

GB - UNITED KINGDOM

Number of pages

6

Pages from-to

837-842

UT code for WoS article

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EID of the result in the Scopus database

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