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Standard Dataset
IST - Pannini Projection Dataset
- Citation Author(s):
- Submitted by:
- FALAH RAHIM
- Last updated:
- Wed, 10/26/2022 - 06:25
- DOI:
- 10.21227/h7q3-2w69
- Data Format:
- Research Article Link:
- License:
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Abstract
A crowdsourcing-based subjective evaluation of viewport images, rendered from ten omnidirectional images in equirectangular format (ERI), obtained with Pannini projection was conducted, aiming to assess the perceptual impact of the object shape deformation, introduced due to sphere-to-plane projections. More details on the Pannini projection, rendered viewports, and subjective test procedure can be found in [1].
[1] F. Jabar, J. Ascenso, and M.P. Queluz “Object-Based Geometric Distortion Metric for Viewport Rendering of 360⸰ Images”, IEEE Access, vol. 10, pp. 13827-13843, Jan. 2022.
- For each image, three viewports were rendered, corresponding to three different viewing directions, with 70% overlapping FoV between successive directions.
- For each viewing direction, two viewports were rendered with the Pannini projection (PP), using different parameter values, Pannini projection with d = 0, vc = 0, and Pannini projection with d = 0.5, vc = 0.
- The viewports were rendered with an FoV of either 110° or 115° .
More details on compared pairs and subjective test procedure can be found in [1].
[1] F. Jabar, J. Ascenso, and M.P. Queluz “Object-Based Geometric Distortion Metric for Viewport Rendering of 360⸰ Images”, IEEE Access, vol. 10, pp. 13827-13843, Jan. 2022.
