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Поиск изображения человеческого лица по фотороботу в большой базе данных

Поиск изображения человеческого лица по фотороботу в большой базе данных

Abstract

Предложен подход к решению задачи поиска человеческих лиц в базе данных на основе стохастической геометрии и функционального анализа. Ключевым элементом этого подхода является применение нового класса конструктивных признаков распознавания триплетных признаков. Рассмотрены этапы поиска изображений в базе данных, вытекающие из анализа физиологических принципов восприятия и распознавания совместно с теорией триплетных признаков.

Keywords

РАСПОЗНАВАНИЕ ЛИЦ, БАЗА ДАННЫХ ИЗОБРАЖЕНИЙ, БИОМЕТРИЧЕСКИЙ ПОИСК, ТРЕЙС-ПРЕОБРАЗОВАНИЕ, СТОХАСТИЧЕСКАЯ ГЕОМЕТРИЯ, ТРИПЛЕТНЫЙ ПРИЗНАК

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold