SLFDB: A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications

16th International Conference on Quality of Multimedia Experience(QoMEX 2024), Karlshamn, Sweden

1Mid Sweden University 2Technical University Berlin

Example of Light Field Navigation

Abstract

Immersive imaging technologies provide an enhanced user experience for visual applications and are getting ready for commonplace use by the industry and the general populace. In particular, light field is a promising technology that enables the capture and reproduction of real light rays from the scene, which can provide a backbone for immersive telecommunication and telepresence applications. Nevertheless, there are still many challenges in transmitting and reproducing light field data. This paper proposes a spherical light field dataset that can be used as a foundation for developing telepresence applications. The Spherical Light Field Database (SLFDB) consists of a light field of 60 views captured with an omnidirectional camera in 20 scenes. To show the usefulness of the proposed database, we provide two use cases: compression and viewpoint estimation. The initial results validate that the publicly available SLFDB will benefit the scientific community.

Dataset Preview

Below is a preview of our dataset. Chick on thumbnails to exapnd full 360 view in low resolution

Light Field Visualization

Below are few example of light field visualization (for faster loading we use low resolution).

BibTeX

@INPROCEEDINGS{10598264,
      author={Zerman, Emin and Gond, Manu and Takhtardeshir, Soheib and Olsson, Roger and Sjöström, Mårten},
      booktitle={2024 16th International Conference on Quality of Multimedia Experience (QoMEX)}, 
      title={A Spherical Light Field Database for Immersive Telecommunication and Telepresence Applications}, 
      year={2024},
      pages={200-206},
      keywords={Industries;Visualization;Telepresence;Databases;Lighting;Rendering (computer graphics);Light fields;light field;omnidirectional;compression;view synthesis;telepresence},
      doi={10.1109/QoMEX61742.2024.10598264}}