Casual 6-DoF: Free-Viewpoint Panorama Using a Handheld 360° Camera.
Journal
IEEE transactions on visualization and computer graphics
ISSN: 1941-0506
Titre abrégé: IEEE Trans Vis Comput Graph
Pays: United States
ID NLM: 9891704
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
medline:
24
5
2022
pubmed:
24
5
2022
entrez:
23
5
2022
Statut:
ppublish
Résumé
Six degrees-of-freedom (6-DoF) video provides telepresence by enabling users to move around in the captured scene with a wide field of regard. Compared to methods requiring sophisticated camera setups, the image-based rendering method based on photogrammetry can work with images captured with any poses, which is more suitable for casual users. However, existing image-based rendering methods are based on perspective images. When used to reconstruct 6-DoF views, it often requires capturing hundreds of images, making data capture a tedious and time-consuming process. In contrast to traditional perspective images, 360° images capture the entire surrounding view in a single shot, thus, providing a faster capturing process for 6-DoF view reconstruction. This article presents a novel method to provide 6-DoF experiences over a wide area using an unstructured collection of 360° panoramas captured by a conventional 360° camera. Our method consists of 360° data capturing, novel depth estimation to produce a high-quality spherical depth panorama, and high-fidelity free-viewpoint generation. We compared our method against state-of-the-art methods, using data captured in various environments. Our method shows better visual quality and robustness in the tested scenes.
Identifiants
pubmed: 35605000
doi: 10.1109/TVCG.2022.3176832
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM