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Исследование алгоритмов фильтрации аномальных данных в задаче стереоскопического зрения роботов

Исследование алгоритмов фильтрации аномальных данных в задаче стереоскопического зрения роботов

Abstract

An algorithm for constructing a depth map by stereo SAD is considered. The study revealed a high frequency character of abnormal of the data with a small window size match. Supposed the way to decrease in the proportion of anomalous data to map the depth by low-pass filtering. Efficiency of the method is tested on 18 sets of input data, the algorithm demonstrated improvement by 50 % of the criterion number of erroneous points.

Рассмотрен алгоритм построения карты глубины по стереопаре SAD. В результате исследования выявлен высокочастотный характер аномальных данных при малом размере окна соответствия. Предложен способ уменьшения доли аномальных данных на карте глубины путем низкочастотной фильтрации. Эффективность способа проверена на 18 наборах входных данных, доказано улучшение работы алгоритма на 50 % по критерию количества ошибочных точек.

Keywords

СТЕРЕОПАРА, МАШИННОЕ ЗРЕНИЕ, СТЕРЕОРЕКОНСТРУКЦИЯ, ФИЛЬТРАЦИЯ

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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