Name
Abstract | ||
|---|---|---|
In this paper, we propose a method to optimize two-layer light field display using depth initialization. In contrast to existing trade-off work between performance and processing time, this paper firstly models the display principle of layered light field display, and then performs layered initialization with the prior known depth of 3D objects, and finally optimizes the layered images for light field display. Experiments demonstrate that the proposed initialization method can obviously save the iterations and related processing time for the existing online or offline algorithms to achieve the same reconstructed peak signal to noise ratio (PSNR) and present a better subjective reconstructed performance using the same computation resource. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/VCIP.2015.7457837 | 2015 Visual Communications and Image Processing (VCIP) |
Keywords | Field | DocType |
Light field,layered display,optimization,depth initialization,3D display | Iterative reconstruction,Peak signal-to-noise ratio,Computer vision,Computer science,Light field,Software,Artificial intelligence,Initialization,Computation | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shi-Zheng Wang | 1 | 77 | 8.39 |
| Zhenfeng Zhuang | 2 | 0 | 1.01 |
| Surman, P. | 3 | 0 | 3.04 |
| Junsong Yuan | 4 | 3703 | 187.68 |
| Yuanjin Zheng | 5 | 328 | 72.86 |
| Xiao Wei Sun | 6 | 1 | 2.46 |