Datasets for “OmniPhotos: Casual 360° VR Photography”
This dataset contains the raw and processed data used to validate the results for the paper. Each subdirectory in the Preprocessed and Unprocessed folders contains a 360° video captured in a circle at different locations in the world, using an Insta360 One X 360° camera on a rotating selfie stick. These subdirectories are named after these locations. Both the proprietary (.insv) video format, as well as a stitched equirectangular (.mp4) video (used by our preprocessing pipeline), have been included. As well as these videos, each subdirectory contains the Input frames, used by our software to display the scene, a Capture directory that contains structure-from-motion data for the given scene, as well as a Config directory, which contains necessary configuration files to run our software.
In the Preprocessed directory, the subdirectories also contain a Cache directory, containing optical flow (.floss) files, a CSV file linking the floss files to the relevant images in Input, and .obj files that contain the scene-dependent proxy mesh (deformed sphere) used to render the scene.
Cite this dataset as:
Bertel, T.,
Yuan, M.,
Lindroos, R.,
Richardt, C.,
2020.
Datasets for “OmniPhotos: Casual 360° VR Photography”.
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-00922.
Export
Access on request: In this version, the first scene in Preprocessed.zip ("Ballintoy") is missing the fitted scene-adaptive proxy geometry, and the scene "Crescent" in Unpreprocessed.zip contains an incorrect number of frames in the config file. Please refer to version 2 of the dataset for the corrected files.
Creators
Tobias Bertel
University of Bath
Mingze Yuan
University of Bath
Reuben Lindroos
University of Bath
Christian Richardt
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
Full details of the methodology may be found in the associated paper.
Methodology link:
Bertel, T., Yuan, M., Lindroos, R., and Richardt, C., 2020. OmniPhotos: Casual 360° VR Photography. ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, 39(6). Available from: https://researchportal.bath.ac.uk/en/publications/omniphotos-casual-360-vr-photography.
Funders
Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266
Fellowship - Towards Immersive 360° VR Video with Motion Parallax
EP/S001050/1
Publication details
Publication date: 26 November 2020
by: University of Bath
Version: 1
- Version 1. (26 November 2020) [Currently Displayed]
- Version 2. (18 December 2020)
DOI: https://doi.org/10.15125/BATH-00922
URL for this record: https://researchdata.bath.ac.uk/id/eprint/922
Related papers and books
Bertel, T., Yuan, M., Lindroos, R., and Richardt, C., 2020. OmniPhotos. ACM Transactions on Graphics, 39(6), 1-12. Available from: https://doi.org/10.1145/3414685.3417770.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Reuben Lindroos
Faculty of Science
Computer Science
Research Centres & Institutes
Centre for Digital Entertainment (CDE)
Centre for the Analysis of Motion, Entertainment Research & Applications