Khan, Ali, Hossain, MD Moinul, Covaci, Alexandra, Sirlantzis, Konstantinos, Xu, Chuanlong (2024) Light field imaging technology for virtual reality content creation: A review. Image Processing, IET, 18 (11). pp. 2817-2837. ISSN 1751-9659. E-ISSN 1751-9667. (doi:10.1049/ipr2.13144) (KAR id:106288)
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Official URL: https://doi.org/10.1049/ipr2.13144 |
Abstract
The light field (LF) imaging technique can capture 3D scene information in 4D by recording both 2D intensity and 2D direction of incoming light rays. Due to this capability, LF has shown a great interest in virtual reality (VR) and augmented reality (AR) for enhanced immersion, improved depth perception and reconstruction of realistic 3D environments. This paper presents a comprehensive review of LF imaging technology and other approaches used for VR content creation. The applications of LF technology beyond VR and AR are also discussed. The challenges and limitations of other approaches for VR content creation are examined. State-of-the-art research has focused on how VR experiences benefit from LF technology and identified the challenges to creating comfortable, immersive and realistic VR content such as (1) image size and resolution, (2) processing speed, (3) precise calibration and (4) depth reconstruction. Recommendations that can be considered for creating immersive VR content are provided to enhance user experience. These recommendations aim to contribute to developing more comfortable and realistic VR content, extending the potential applications of LF imaging technology in diverse fields.
Item Type: | Article |
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DOI/Identification number: | 10.1049/ipr2.13144 |
Uncontrolled keywords: | optical images, sensors, virtual reality |
Subjects: | Q Science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Funders: | University of Kent (https://ror.org/00xkeyj56) |
Depositing User: | Moinul Hossain |
Date Deposited: | 15 Jun 2024 09:43 UTC |
Last Modified: | 05 Nov 2024 13:12 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/106288 (The current URI for this page, for reference purposes) |
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