Name
Abstract | ||
|---|---|---|
We propose a real-time rendering method which is based on the Blur Distribution Function(BDF) of human eye in order to achieve vision-realistic effect. In real-time rendering, a thin lens camera model is commonly adopted to simulate the effect of Depth of Field(DoF). Thin lens model is efficient to calculate but lacks vision-realistic effect. We consider the simulation of human vision an improvement in virtual reality. In this paper, we analysis and model the BDF of human eye. The BDF is calculated quickly by neural network to simulate blur size of each pixel. Based on a schematic eye model, which provides accurate optical properties of human eye, our method shows DoF effect simulating human vision. Evaluation results indicate that the rendering effect of our method conforms to human vision and extra computation cost is acceptable. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2817675.2817686 | Virtual Reality Continuum and its Applications in Industry |
Keywords | Field | DocType |
rendering, vision-realistic | Thin lens,Computer graphics (images),Computer science,Artificial intelligence,Artificial neural network,Computation,Human eye,Computer vision,Simulation,3D rendering,Pixel,Rendering (computer graphics),Depth of field | Conference |
Citations | PageRank | References |
1 | 0.37 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Tang | 1 | 9 | 1.30 |
| Shuangjiu Xiao | 2 | 41 | 14.18 |