IMAGE SEARCH METHOD AND DEVICE

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00198525" target="_blank" >RIV/68407700:21230/12:00198525 - isvavai.cz</a>

Výsledek na webu

<a href="https://register.epo.org/espacenet/application?number=EP06797564" target="_blank" >https://register.epo.org/espacenet/application?number=EP06797564</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

IMAGE SEARCH METHOD AND DEVICE

Popis výsledku v původním jazyce

An object of the present invention is to provide an image search method that is robust and fast (with computational complexity of logarithmic order relative to the number of models). An image search method of the present invention is characterized by comprising: an extraction step of extracting a plurality of specific regions possessing such a property that a shape can be normalized regardless of an affine transformation thereof, as affine-invariant regions from one or more learning images; a calculation step of calculating, with respect to a reference affne-invariant region, other neighboring affine- invariant regions as a set; a deformation step of deforming the neighboring affine-invariant regions by a transformation to normalize the shape of the reference affine-invariant region; and an output step of outputting the deformed shapes of the neighboring affine-invariant regions, together with combination of the reference affine- invariant region and the neighboring affine-invariant re

Název v anglickém jazyce

IMAGE SEARCH METHOD AND DEVICE

Popis výsledku anglicky

An object of the present invention is to provide an image search method that is robust and fast (with computational complexity of logarithmic order relative to the number of models). An image search method of the present invention is characterized by comprising: an extraction step of extracting a plurality of specific regions possessing such a property that a shape can be normalized regardless of an affine transformation thereof, as affine-invariant regions from one or more learning images; a calculation step of calculating, with respect to a reference affne-invariant region, other neighboring affine- invariant regions as a set; a deformation step of deforming the neighboring affine-invariant regions by a transformation to normalize the shape of the reference affine-invariant region; and an output step of outputting the deformed shapes of the neighboring affine-invariant regions, together with combination of the reference affine- invariant region and the neighboring affine-invariant re

Druh

P - Patent

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Číslo patentu nebo vzoru

EP1933270

Vydavatel

EPO_1 -

Název vydavatele

European Patent Office

Místo vydání

Munich, The Hague, Berlin, Vienna, Brussels

Stát vydání

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Datum přijetí

22. 2. 2012

Název vlastníka

TOYOTA JIDOSHA KABUSHIKI KAISHA, CZECH TECHNICAL UNIVERSITY IN PRAGUE

Způsob využití

A - Výsledek využívá pouze poskytovatel

Druh možnosti využití

A - K využití výsledku jiným subjektem je vždy nutné nabytí licence