Light field imaging technology for virtual reality content creation: A review

Journal article

Khan, A., Hossain, M., Covaci, A., Sirlantzis, K. and Xu, C. 2024. Light field imaging technology for virtual reality content creation: A review. IET Image Processing. 18 (11), pp. 2817-2837. https://doi.org/10.1049/ipr2.13144
AuthorsKhan, A., Hossain, M., Covaci, A., Sirlantzis, K. and Xu, C.
AbstractThe 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.
Year2024
JournalIET Image Processing
Journal citation18 (11), pp. 2817-2837
PublisherInstitution of Engineering and Technology (IET)
ISSN1751-9659
1751-9667
Digital Object Identifier (DOI)https://doi.org/10.1049/ipr2.13144
Official URLhttps://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ipr2.13144
FunderEuropean Regional Development Fund (ERDF) is one of the main financial instruments of the European Unions (EU) cohesion policy
Publication dates
Online14 Jun 2024
Publication process dates
Accepted19 May 2024
Deposited03 Oct 2024
Publisher's version
License
File Access Level
Open
Output statusPublished
Additional information

Publications router.

Licensehttp://creativecommons.org/licenses/by/4.0/
Permalink -

https://repository.canterbury.ac.uk/item/98427/light-field-imaging-technology-for-virtual-reality-content-creation-a-review

Download files

Publisher's version
IET Image Processing - 2024 - Khan - Light field imaging technology for virtual reality content creation A review.pdf
License: CC BY 4.0
File access level: Open

  • 4
    total views
  • 3
    total downloads
  • 4
    views this month
  • 3
    downloads this month

Export as

Related outputs

Cancer: Investigating the impact of the implementation platform on machine learning models
Olowolayemo, A. S., Souag, A. and Sirlantzis, K. 2024. Cancer: Investigating the impact of the implementation platform on machine learning models. in: Mengoni, M. and Souag, A. (ed.) AIHealth 2024, The First International Conference on AI-Health ThinkMind.
Effect of Gait Speed on Trajectory Prediction Using Deep Learning Models for Exoskeleton Applications
Kolaghassi, R., Marcelli, G. and Sirlantzis, K. 2023. Effect of Gait Speed on Trajectory Prediction Using Deep Learning Models for Exoskeleton Applications. Sensors. 23 (12), p. 5687. https://doi.org/10.3390/s23125687
Depth estimation and validation of plenoptic light field camera
Khan, Ali, Hossain, Md. Moinul, Sirlantzis, Konstantinos, Covaci, Alexandra and Chowdhury, Wasif Shafaet 2023. Depth estimation and validation of plenoptic light field camera. in: 2023 IEEE International Conference on Imaging Systems and Techniques (IST) IEEE.
Train vs. play: Evaluating the effects of gamified and non-gamified wheelchair skills training using virtual reality
Zorzi, C., Tabbaa, Luma, Covaci, Alexandra, Sirlantzis, Konstantinos and Marcelli, Gianluca 2023. Train vs. play: Evaluating the effects of gamified and non-gamified wheelchair skills training using virtual reality. Bioengineering. 10 (11), p. 1269. https://doi.org/10.3390/bioengineering10111269
Community areas of sustainable care and dementia excellence in Europe (CASCADE) - Final report: A process and technology evaluation of the CASCADE programme in the United Kingdom implementation sites
Martin, A., Hatzidimitriadou, E., Sangeorzan, I., Smith, R., Wright, T., Price, N., Sirlantzis, K. and Rajapakse, S. 2023. Community areas of sustainable care and dementia excellence in Europe (CASCADE) - Final report: A process and technology evaluation of the CASCADE programme in the United Kingdom implementation sites. Canterbury Canterbury Christ Church University.
Augmented reality (AR) for surgical robotic and autonomous systems: State of the art, challenges, and solutions
Seetohul, J,, Shafiee, M. and Sirlantzis, K. 2023. Augmented reality (AR) for surgical robotic and autonomous systems: State of the art, challenges, and solutions. Sensors. 23 (13), p. 6202. https://doi.org/10.3390/s23136202
Design and control of a single-leg exoskeleton with gravity compensation for children with unilateral cerebral palsy
Sarajchi, M. and Sirlantzis, K. 2023. Design and control of a single-leg exoskeleton with gravity compensation for children with unilateral cerebral palsy. Sensors. 23 (13), p. 6103. https://doi.org/1424-8220/23/13/6103
An annotated water-filled, and dry potholes dataset for deep learning applications
Dib, J., Sirlantzis, K. and Howells, G. 2023. An annotated water-filled, and dry potholes dataset for deep learning applications. Data in Brief. 48, p. 109206. https://doi.org/10.1016/j.dib.2023.109206
Virtual and augmented reality in healthcare education (VARE) project report
Hatzidimitriadou, E., Taylor, J., Clark, N., Field, S., Reader, J., Buttery, A., Singh, B., Arealis, G. and Sirlantzis, K. 2022. Virtual and augmented reality in healthcare education (VARE) project report. Canterbury Canterbury Christ Church University.