Name
Abstract | ||
|---|---|---|
In this paper, we propose a single-layer post-processing method for real-time depth-of-field rendering that uses single-layer composition. In the proposed method, blurring is achieved by gathering background pixels and scattering foreground pixels. Major artifacts in post-filtering techniques such as intensity leakage and blurring discontinuity are reduced by using two different blurring functions and the controllable parameter in the gathering process. The method can be entirely implemented in GPU parallelization to achieve the real-time performance required for virtual reality. The results of comparisons of our method with recent post-processing methods in terms of rendering quality and rendering performance indicate that our method generates realistic natural images and is also the fastest in terms of frames per second. Copyright © 2014 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1002/cav.1591 | Computer Animation and Virtual Worlds |
Keywords | Field | DocType |
depth of field,post processing | Virtual reality,Computer graphics (images),Computer science,Real-time rendering,Discontinuity (linguistics),Artificial intelligence,Computer vision,Simulation,3D rendering,Pixel,Frame rate,Rendering (computer graphics),Depth of field | Journal |
Volume | Issue | ISSN |
25 | 3-4 | 1546-4261 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoxin Fang | 1 | 7 | 1.12 |
| Bin Sheng | 2 | 368 | 61.19 |
| Wen Wu | 3 | 517 | 47.40 |
| Zengzhi Fan | 4 | 0 | 0.34 |
| Lizhuang Ma | 5 | 498 | 100.70 |