From autofocusing to automatic 3D information content analysis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00044035" target="_blank" >RIV/00216224:14330/10:00044035 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

From autofocusing to automatic 3D information content analysis

Popis výsledku v původním jazyce

The autofocus feature has become an indispensable part of consumer as well as professional cameras. Scientific cameras typically rely on software autofocusing performed on-line by host computer. The autofocusing procedure may be tailor-made for specificapplication and implemented in a different way by different users. Nevertheless, the common strategy of all software autofocus routines is to acquire a sequence of low-resolution 2D images so that each image is taken at a different focal plane position.For each image in this sequence the degree of focus is computed and maximal value position is determined. In real world, however, there may exist more than one important focal plane and less dominant objects are often missed during acquisition.

Název v anglickém jazyce

From autofocusing to automatic 3D information content analysis

Popis výsledku anglicky

The autofocus feature has become an indispensable part of consumer as well as professional cameras. Scientific cameras typically rely on software autofocusing performed on-line by host computer. The autofocusing procedure may be tailor-made for specificapplication and implemented in a different way by different users. Nevertheless, the common strategy of all software autofocus routines is to acquire a sequence of low-resolution 2D images so that each image is taken at a different focal plane position.For each image in this sequence the degree of focus is computed and maximal value position is determined. In real world, however, there may exist more than one important focal plane and less dominant objects are often missed during acquisition.

Druh

O - Ostatní výsledky

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2010

Kód důvěrnosti údajů

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