A 3D Real Object Recognition and Localization on SLAM based Augmented Reality Environment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choe, J. | - |
dc.contributor.author | Seo, S. | - |
dc.date.accessioned | 2023-03-08T14:10:43Z | - |
dc.date.available | 2023-03-08T14:10:43Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/63473 | - |
dc.description.abstract | this paper introduces a method for recognizing real world objects in AR(Augmented Reality) environment and visualizing virtual information based on the objects. Existing AR shows high dependence on markers. The use range of the virtual space is limited to narrow marker space and the placement and tracking of virtual objects in a 3D is also limited to the space centered on the marker. The method constructs a map of the space in the form of a point cloud using SLAM, and performs real-world object recognition of the constructed wide AR space in real time. As a result, the degree of freedom of space utilization increases, and it is helpful in applying AR such as information display of real-world objects by accurately recognizing and localizing the location of objects existing in the real-world space. © 2020 IEEE. | - |
dc.format.extent | 2 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A 3D Real Object Recognition and Localization on SLAM based Augmented Reality Environment | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/CSCI51800.2020.00140 | - |
dc.identifier.bibliographicCitation | Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, pp 745 - 746 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85113378437 | - |
dc.citation.endPage | 746 | - |
dc.citation.startPage | 745 | - |
dc.citation.title | Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | Augmented Reality | - |
dc.subject.keywordAuthor | Deep Learning | - |
dc.subject.keywordAuthor | Object Recognition | - |
dc.subject.keywordAuthor | Point Cloud | - |
dc.subject.keywordAuthor | Pose Estimation | - |
dc.subject.keywordPlus | Augmented reality | - |
dc.subject.keywordPlus | Degrees of freedom (mechanics) | - |
dc.subject.keywordPlus | Intelligent computing | - |
dc.subject.keywordPlus | Object recognition | - |
dc.subject.keywordPlus | Degree of freedom | - |
dc.subject.keywordPlus | Information display | - |
dc.subject.keywordPlus | Real objects | - |
dc.subject.keywordPlus | Real-world objects | - |
dc.subject.keywordPlus | Space utilization | - |
dc.subject.keywordPlus | Virtual information | - |
dc.subject.keywordPlus | Virtual objects | - |
dc.subject.keywordPlus | Virtual spaces | - |
dc.subject.keywordPlus | Object tracking | - |
dc.description.journalRegisteredClass | scopus | - |
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