Name
Abstract | ||
|---|---|---|
In depth-image-based-rendering (DIBR), the quality of the synthesized virtual view depends on that of the depth maps in the reference views. In this paper, we develop a framework to estimate the distortion of the synthesized view when a simplified two-step warping algorithm is used and when there are random errors in the reference depth maps. A graph-based method is developed to obtain the depth and texture distributions in the synthesized view. Experimental results demonstrate the accuracy of the estimated distortion. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/PCS.2013.6737691 | PCS |
Keywords | Field | DocType |
image processing,depth distributions,two step warping algorithm,distortion estimation,two-step view synthesis,depth image based rendering,rendering (computer graphics),view synthesis,graph theory,dibr,texture distributions,graph based method,image texture | Graph theory,Random error,Computer vision,Graph,Image warping,Computer science,Image texture,Image processing,Theoretical computer science,View synthesis,Artificial intelligence,Distortion | Conference |
ISSN | ISBN | Citations |
2330-7935 | 978-1-4799-0292-7 | 1 |
PageRank | References | Authors |
0.35 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong Zhang | 1 | 16 | 2.42 |
| Jie Liang | 2 | 707 | 80.89 |
| Xiangyang Gong | 3 | 161 | 23.01 |