Name
Abstract | ||
|---|---|---|
The ray structure and sampling properties of different light-field representations inherently determine their use-cases. Currently prevalent linear data structures do not allow for joint processing of light-fields captured from multiple sides of a scene. In this paper, we review and highlight the differences in capturing and reconstruction between light-fields captured with linear and circular camera arrays. We also examine and improve the processing of light-fields captured with circular camera arrays with a focus on their use in reconstructing dense light-fields, by proposing a new resampling technique for circular light-fields. The proposed circular epipolar light-field structure creates a simple sinusoidal relation between the objects of the scene and their curves in the epipolar image, opening the way of efficient reconstruction of circular light-fields. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/EUSIPCO.2018.8552998 | EUSIPCO |
Field | DocType | Citations |
Iterative reconstruction,Data structure,Computer vision,Epipolar geometry,Computer science,Sampling (statistics),Artificial intelligence,Resampling | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aron Cserkaszky | 1 | 0 | 0.34 |
| Péter András Kara | 2 | 15 | 5.54 |
| Attila Barsi | 3 | 22 | 11.84 |
| Maria G. Martini | 4 | 498 | 57.74 |
| tibor balogh | 5 | 49 | 12.10 |