AR technology-assisted selfie design and dissemination path analysis
Augmented reality (AR) is a technology based on 3D registration, virtual-real fusion and human-computer interaction to achieve the integration of virtual objects and real scenes. The core problem of augmented reality task is the accurate and fast recognition and tracking of objects in real scenes, w...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Redfame Publishing
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/106704/ |
| _version_ | 1848864808222326784 |
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| author | Zhang, Di Alsagoff, Syed Agil Yasin, Megat Al Imran Razi, Siti Aishah Muhammad |
| author_facet | Zhang, Di Alsagoff, Syed Agil Yasin, Megat Al Imran Razi, Siti Aishah Muhammad |
| author_sort | Zhang, Di |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Augmented reality (AR) is a technology based on 3D registration, virtual-real fusion and human-computer interaction to achieve the integration of virtual objects and real scenes. The core problem of augmented reality task is the accurate and fast recognition and tracking of objects in real scenes, which provides the technical basis for updating and optimizing the selfie design. This paper discusses the specific technical path of AR applied to selfie design based on the deep learning approach, and demonstrates the impact of different deep learning algorithms on the effectiveness of the integration of AR and selfie, and finally the paper discusses the application prospects of AR in selfie. |
| first_indexed | 2025-11-15T13:54:42Z |
| format | Article |
| id | upm-106704 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:54:42Z |
| publishDate | 2023 |
| publisher | Redfame Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1067042024-09-26T07:38:07Z http://psasir.upm.edu.my/id/eprint/106704/ AR technology-assisted selfie design and dissemination path analysis Zhang, Di Alsagoff, Syed Agil Yasin, Megat Al Imran Razi, Siti Aishah Muhammad Augmented reality (AR) is a technology based on 3D registration, virtual-real fusion and human-computer interaction to achieve the integration of virtual objects and real scenes. The core problem of augmented reality task is the accurate and fast recognition and tracking of objects in real scenes, which provides the technical basis for updating and optimizing the selfie design. This paper discusses the specific technical path of AR applied to selfie design based on the deep learning approach, and demonstrates the impact of different deep learning algorithms on the effectiveness of the integration of AR and selfie, and finally the paper discusses the application prospects of AR in selfie. Redfame Publishing 2023-07-30 Article PeerReviewed Zhang, Di and Alsagoff, Syed Agil and Yasin, Megat Al Imran and Razi, Siti Aishah Muhammad (2023) AR technology-assisted selfie design and dissemination path analysis. Studies in Media and Communication, 11 (6). 288 - 298. ISSN 2325-8071; ESSN: 2325-808X https://redfame.com/journal/index.php/smc/article/view/6203 10.11114/smc.v11i6.6203 |
| spellingShingle | Zhang, Di Alsagoff, Syed Agil Yasin, Megat Al Imran Razi, Siti Aishah Muhammad AR technology-assisted selfie design and dissemination path analysis |
| title | AR technology-assisted selfie design and dissemination path analysis |
| title_full | AR technology-assisted selfie design and dissemination path analysis |
| title_fullStr | AR technology-assisted selfie design and dissemination path analysis |
| title_full_unstemmed | AR technology-assisted selfie design and dissemination path analysis |
| title_short | AR technology-assisted selfie design and dissemination path analysis |
| title_sort | ar technology-assisted selfie design and dissemination path analysis |
| url | http://psasir.upm.edu.my/id/eprint/106704/ http://psasir.upm.edu.my/id/eprint/106704/ http://psasir.upm.edu.my/id/eprint/106704/ |