Evaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database

The goal of the WrightBroS project is to design a system supporting the training of pilots in a flight simulator. The desired software should work on smart glasses supplementing the visual information with augmented reality data, displaying, for instance, additional training information or descripti...

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Autores principales:	Karolina Nurzynska, Przemysław Skurowski, Magdalena Pawlyta, Krzysztof Cyran
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	keypoint descriptors local feature classification cockpit devices database feature vectors matching Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/02f7442113db4c648ab3ba307475e57f
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id	oai:doaj.org-article:02f7442113db4c648ab3ba307475e57f
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spelling	oai:doaj.org-article:02f7442113db4c648ab3ba307475e57f2021-11-25T18:58:29ZEvaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database10.3390/s212276871424-8220https://doaj.org/article/02f7442113db4c648ab3ba307475e57f2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7687https://doaj.org/toc/1424-8220The goal of the WrightBroS project is to design a system supporting the training of pilots in a flight simulator. The desired software should work on smart glasses supplementing the visual information with augmented reality data, displaying, for instance, additional training information or descriptions of visible devices in real time. Therefore, the rapid recognition of observed objects and their exact positioning is crucial for successful deployment. The keypoint descriptor approach is a natural framework that is used for this purpose. For this to be applied, the thorough examination of specific keypoint location methods and types of keypoint descriptors is required first, as these are essential factors that affect the overall accuracy of the approach. In the presented research, we prepared a dedicated database presenting 27 various devices of flight simulator. Then, we used it to compare existing state-of-the-art techniques and verify their applicability. We investigated the time necessary for the computation of a keypoint position, the time needed for the preparation of a descriptor, and the classification accuracy of the considered approaches. In total, we compared the outcomes of 12 keypoint location methods and 10 keypoint descriptors. The best scores recorded for our database were almost 96% for a combination of the ORB method for keypoint localization followed by the BRISK approach as a descriptor.Karolina NurzynskaPrzemysław SkurowskiMagdalena PawlytaKrzysztof CyranMDPI AGarticlekeypoint descriptorslocal feature classificationcockpit devices databasefeature vectors matchingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7687, p 7687 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	keypoint descriptors local feature classification cockpit devices database feature vectors matching Chemical technology TP1-1185
spellingShingle	keypoint descriptors local feature classification cockpit devices database feature vectors matching Chemical technology TP1-1185 Karolina Nurzynska Przemysław Skurowski Magdalena Pawlyta Krzysztof Cyran Evaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database
description	The goal of the WrightBroS project is to design a system supporting the training of pilots in a flight simulator. The desired software should work on smart glasses supplementing the visual information with augmented reality data, displaying, for instance, additional training information or descriptions of visible devices in real time. Therefore, the rapid recognition of observed objects and their exact positioning is crucial for successful deployment. The keypoint descriptor approach is a natural framework that is used for this purpose. For this to be applied, the thorough examination of specific keypoint location methods and types of keypoint descriptors is required first, as these are essential factors that affect the overall accuracy of the approach. In the presented research, we prepared a dedicated database presenting 27 various devices of flight simulator. Then, we used it to compare existing state-of-the-art techniques and verify their applicability. We investigated the time necessary for the computation of a keypoint position, the time needed for the preparation of a descriptor, and the classification accuracy of the considered approaches. In total, we compared the outcomes of 12 keypoint location methods and 10 keypoint descriptors. The best scores recorded for our database were almost 96% for a combination of the ORB method for keypoint localization followed by the BRISK approach as a descriptor.
format	article
author	Karolina Nurzynska Przemysław Skurowski Magdalena Pawlyta Krzysztof Cyran
author_facet	Karolina Nurzynska Przemysław Skurowski Magdalena Pawlyta Krzysztof Cyran
author_sort	Karolina Nurzynska
title	Evaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database
title_short	Evaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database
title_full	Evaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database
title_fullStr	Evaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database
title_full_unstemmed	Evaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database
title_sort	evaluation of keypoint descriptors for flight simulator cockpit elements: wrightbros database
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/02f7442113db4c648ab3ba307475e57f
work_keys_str_mv	AT karolinanurzynska evaluationofkeypointdescriptorsforflightsimulatorcockpitelementswrightbrosdatabase AT przemysławskurowski evaluationofkeypointdescriptorsforflightsimulatorcockpitelementswrightbrosdatabase AT magdalenapawlyta evaluationofkeypointdescriptorsforflightsimulatorcockpitelementswrightbrosdatabase AT krzysztofcyran evaluationofkeypointdescriptorsforflightsimulatorcockpitelementswrightbrosdatabase
_version_	1718410443456774144

Evaluation of Keypoint Descriptors for Flight Simulator Cockpit Elements: WrightBroS Database

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