Real-time 3D reconstruction for mixed reality telepresence using multiple depth sensors.
In recent years, there has been a great development in real-time three-dimensional (3D) scene reconstruction from depth sensor data, as well as the study of such data in Virtual Reality (VR) and Augmented Reality (AR) contexts. Although it has been extensively investigated and has attracted the atte...
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2023
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my.utm.1077582024-10-02T06:43:21Z http://eprints.utm.my/107758/ Real-time 3D reconstruction for mixed reality telepresence using multiple depth sensors. Ishigaki, Shafina Abd Karim Ismail, Ajune Wanis T Technology (General) T58.6-58.62 Management information systems In recent years, there has been a great development in real-time three-dimensional (3D) scene reconstruction from depth sensor data, as well as the study of such data in Virtual Reality (VR) and Augmented Reality (AR) contexts. Although it has been extensively investigated and has attracted the attention of many researchers, the challenge of real-time 3D reconstruction remains a difficult research task. The majority of current techniques, target real-time 3D reconstruction for the single-view-based system rather than multi-view. In order to provide multi-view 3D reconstruction for Mixed Reality (MR) telepresence, this chapter aims to propose a multiple depth sensor capture using a marching square approach to produce a single full 3D reconstruction surface of a moving user in real-time. The chapter explains the design stage that involves setup from multiple depth sensors, surface reconstruction and merging of 3D reconstruction data for MR Telepresence. The chapter ends with results and a conclusion. 2023-02-15 Conference or Workshop Item PeerReviewed Ishigaki, Shafina Abd Karim and Ismail, Ajune Wanis (2023) Real-time 3D reconstruction for mixed reality telepresence using multiple depth sensors. In: 1st International Conference on Advanced Communication and Intelligent Systems, ICACIS 2022, 20 October 2022 - 21 October 2022, Warsaw Management University, Poland - Virtual, Online. http://dx.doi.org/10.1007/978-3-031-25088-0_5 |
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T Technology (General) T58.6-58.62 Management information systems |
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T Technology (General) T58.6-58.62 Management information systems Ishigaki, Shafina Abd Karim Ismail, Ajune Wanis Real-time 3D reconstruction for mixed reality telepresence using multiple depth sensors. |
| description |
In recent years, there has been a great development in real-time three-dimensional (3D) scene reconstruction from depth sensor data, as well as the study of such data in Virtual Reality (VR) and Augmented Reality (AR) contexts. Although it has been extensively investigated and has attracted the attention of many researchers, the challenge of real-time 3D reconstruction remains a difficult research task. The majority of current techniques, target real-time 3D reconstruction for the single-view-based system rather than multi-view. In order to provide multi-view 3D reconstruction for Mixed Reality (MR) telepresence, this chapter aims to propose a multiple depth sensor capture using a marching square approach to produce a single full 3D reconstruction surface of a moving user in real-time. The chapter explains the design stage that involves setup from multiple depth sensors, surface reconstruction and merging of 3D reconstruction data for MR Telepresence. The chapter ends with results and a conclusion. |
| format |
Conference or Workshop Item |
| author |
Ishigaki, Shafina Abd Karim Ismail, Ajune Wanis |
| author_facet |
Ishigaki, Shafina Abd Karim Ismail, Ajune Wanis |
| author_sort |
Ishigaki, Shafina Abd Karim |
| title |
Real-time 3D reconstruction for mixed reality telepresence using multiple depth sensors. |
| title_short |
Real-time 3D reconstruction for mixed reality telepresence using multiple depth sensors. |
| title_full |
Real-time 3D reconstruction for mixed reality telepresence using multiple depth sensors. |
| title_fullStr |
Real-time 3D reconstruction for mixed reality telepresence using multiple depth sensors. |
| title_full_unstemmed |
Real-time 3D reconstruction for mixed reality telepresence using multiple depth sensors. |
| title_sort |
real-time 3d reconstruction for mixed reality telepresence using multiple depth sensors. |
| publishDate |
2023 |
| url |
http://eprints.utm.my/107758/ http://dx.doi.org/10.1007/978-3-031-25088-0_5 |
| _version_ |
1814043515682816000 |
| score |
13.251813 |