MegaParallax: Casual 360° Panoramas with Motion Parallax
- Submitting institution
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The University of Bath
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 203037969
- Type
- D - Journal article
- DOI
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10.1109/TVCG.2019.2898799
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 1828
- Volume
- 25
- Issue
- 5
- ISSN
- 1077-2626
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The rise of consumer cameras enabled ubiquitous capture of 360° panoramas as users want to share and relive experiences. However, existing projection techniques flatten the panorama and remove motion parallax – an important depth cue for the human visual system. MegaParallax is a new image-based method that provides high-quality parallax rendering for restoring this depth cue and allows the viewer to explore static scenes with translation as well as rotation. Shortlisted for the Best Journal Paper Award at the IEEE VR 2019 conference. Based on this work, the first author was invited for a research internship in the US.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -