Robot localization in RGB-D images using PCA and CNN

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dc.contributor.authorTaha, Alwaled Khalid
dc.contributor.authorCansever, Galip
dc.date.accessioned2022-02-04T12:18:10Z
dc.date.available2022-02-04T12:18:10Z
dc.date.issued2021en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractHuman beings have always used the resources at their disposal as tools to help carry out tasks in the most effective, fast and safe way. As technology advances, these tools are being used in increasingly complex machinery capable of performing complicated jobs precisely and often better than a human could have in this paper we aim at performing a robust robot localization by reducing the 3d images into 2d images using PCA algorithm and using CNN for feature extraction and classification of the images.en_US
dc.identifier.citationTaha, A. K., & Cansever, G. (2021, October). Robot Localization in RGB-D Images Using PCA and CNN. In 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 684-687). IEEE.en_US
dc.identifier.endpage687en_US
dc.identifier.scopus2-s2.0-85123289671
dc.identifier.scopusqualityN/A
dc.identifier.startpage684en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/2244
dc.indekslendigikaynakScopus
dc.institutionauthorTaha, Alwaled Khalid
dc.institutionauthorCansever, Galip
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.ispartofIEEE
dc.relation.isversionof10.1109/ISMSIT52890.2021.9604647en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCNNen_US
dc.subjectPCAen_US
dc.subjectRGBDen_US
dc.subjectLocalizationen_US
dc.titleRobot localization in RGB-D images using PCA and CNN
dc.typeArticle

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