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.
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Official URL: http://dx.doi.org/10.1007/978-3-031-25088-0_5
Abstract
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.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | 3D reconstruction; Depth sensor; MR telepresence; Real-time. |
Subjects: | T Technology > T Technology (General) T Technology > T Technology (General) > T58.6-58.62 Management information systems |
Divisions: | Computing |
ID Code: | 107758 |
Deposited By: | Muhamad Idham Sulong |
Deposited On: | 02 Oct 2024 06:43 |
Last Modified: | 02 Oct 2024 06:43 |
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