Name
Abstract | ||
|---|---|---|
Light Field imaging derives from the fundamentals of light field sampling, where the spatial information about a scene can be captured with angular information. That is, the Light Field imaging is based on a camera recording information about the intensity of light from the scene and about the direction of the light rays. The acquired data can be shown to the user in different ways, such as image with digitally extended depth of field, 3D, parallax, and 360 degree display. In this contribution, the impact of different rendering techniques on the Quality of Experience is addressed. The achieved results show that the visualization techniques may have different impact on the perceived quality even when the same content is considered. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICIP.2017.8296270 | 2017 IEEE International Conference on Image Processing (ICIP) |
Keywords | Field | DocType |
Light Field Imaging,Quality of Experience,Visualization,Quality Metrics,Subjective Experiment | Computer vision,Parallax,Ray,Visualization,Computer science,Light field,Quality of experience,Artificial intelligence,Rendering (computer graphics),Depth of field,Creative visualization | Conference |
ISSN | ISBN | Citations |
1522-4880 | 978-1-5090-2176-5 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pradip Paudyal | 1 | 54 | 4.97 |
| Federica Battisti | 2 | 293 | 25.35 |
| Marco Carli | 3 | 252 | 28.85 |