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Estimating the distance to an object from grayscale stereo images using deep learning

Object's details: Estimating the distance to an object from grayscale stereo images using deep learning

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Structure

Prace Naukowe Instytutu Matematyki i Informatyki=Scientific Research of the Institute of Mathematics and Computer Science.

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Description

Title:
Estimating the distance to an object from grayscale stereo images using deep learning
Group title:
Journal of Applied Mathematics and Computational Mechanics
Creator:
Kulawik Joanna
Subject and Keywords:
estimating distance
;
stereo-vision
;
convolutional neural network
;
deep learning
;
szacowanie odległości
;
widzenie stereoskopowe
;
konwolucyjne sieci neuronowe
;
uczenie głębokie
Publisher:
Wydawnictwo Politechniki Częstochowskiej
Place of publishing:
Częstochowa
Date:
2022
Resource Type:
artykuł
Resource Identifier: oai:www.sbc.org.pl:852670
Language:
eng
Coverage:
2002-2012
Oryginal in:
Biblioteka Główna Politechniki Częstochowskiej

Object is located in the collections:

Educational materials

Educational materials

Scientific Works

Publications of the Participants

Publications of the Participants

Publications of the Participants

Additional information

Creation date: 2024-09-09
Last modification date: 2024-09-09
Content object's number of views: 3
You could also download the object's description in these formats:
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;
OAI-PMH

See also

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Information on financing

The project is co-financed by the European Union from the European Regional Development Fund under the Regional Operational Program of the Silesian Voivodeship for the years 2014 - 2020 Silesian Digitarium. Digitization and access to the resources of cultural institutions of the Silesian Voivodeship.

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