3D-aware Motion Generation of Natural Objects in a Single Omnidirectional Image for Virtual Sightseeing
Services using omnidirectional images have become increasingly popular for virtual sightseeing. For example, Google Street View enables users to view the scenery of a location online without physically visiting it. However, the use of still images in such services limits the sense of presence. This study proposes a method that focuses on natural elements such as water, sky, and trees in a single omnidirectional image and reproduces their motion in 3D space, generating omnidirectional videos to improve the sense of reality in virtual sightseeing. Experiments demonstrate the effectiveness of the proposed method through comparison with a conventional method and user studies.
Authors
- Norihiko Kawai (ORCID: https://orcid.org/0000-0002-7859-8407)
- Motoki Kakuho
Institutions
- Osaka Institute of Technology (JP)
Publication Details
- Journal
- IEICE Transactions on Information and Systems
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1587/transinf.2025hcp0005
- Primary Topic
- Advanced Vision and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00