Name
Abstract | ||
|---|---|---|
In 3D video (3DV) applications, a reduced number of views plus depth maps are transmitted or stored. When there is a need to render virtual views in between the actual views, the technique of depth image based rendering (DIBR) can be used to generate the intermediate views. To address the problem of noisy depth information in 3DV systems, we propose novel methods that can be easily incorporated into DIBR to improve synthesized image quality. These include: (1) a heuristic scheme with adaptive spatting that blends multiple warped reference pixels based on their depth, warped pixel positions and camera parameters; (2) an approximation of the first scheme with up-sampling for fast processing; (3) boundary only splatting; and (4) view weighting based on hole distribution. Experiment results show that the proposed methods can improve synthesis quality significantly. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICIP.2009.5413941 | ICIP |
Keywords | Field | DocType |
depth map,depth image-based rendering quality,video signal processing,warped pixel positions,depth maps,view interpolation,actual view,3d video systems,synthesis quality,noisy depth information,adaptive spatting,depth image based rendering,rendering (computer graphics),hole distribution,synthesized image quality,view synthesis,3dv,heuristic scheme,video system,camera parameters,depth image,multiple warped reference pixels,multiple warped reference,warped pixel position,image quality,transform coding,noise measurement,pixel | Computer vision,Heuristic,Weighting,Noise measurement,Computer graphics (images),Computer science,Image quality,Transform coding,View synthesis,Pixel,Artificial intelligence,Image-based modeling and rendering | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-5655-0 | 978-1-4244-5655-0 | 9 |
PageRank | References | Authors |
0.68 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zefeng Ni | 1 | 85 | 8.07 |
| Dong Tian | 2 | 55 | 7.18 |
| Sitaram Bhagavathy | 3 | 114 | 9.82 |
| Joan Llach | 4 | 99 | 10.01 |
| B. S. Manjunath | 5 | 55 | 4.38 |