Name
Abstract | ||
|---|---|---|
Image-space reconstruction of continuous surfaces from scattered one-pixel projections of points is known to po- tentially offer an advantageous time complexity compared to surface splatting techniques. We propose a new algo- rithm for hardware-accelerated image-space reconstruction using pull-push interpolation and present an efficient GPU implementation. Compared to published image-space reconstruction approaches employing the pull-push interpolation, our method offers a significantly improved image quality because of the integration of elliptic box- filters and support for deferred Phong shading. For large point-based models, our GPU implementation is capable of rendering more than 50M points per second—including image-space reconstruction and deferred shading. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.2312/SPBG/SPBG07/101-108 | SPBG |
Keywords | Field | DocType |
image quality,time complexity,hardware accelerator,image reconstruction | Iterative reconstruction,Computer vision,Deferred shading,Computer graphics (images),Computer science,Interpolation,Image quality,Artificial intelligence,Phong shading,Rendering (computer graphics),Time complexity,Tiled rendering | Conference |
Citations | PageRank | References |
12 | 0.80 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Marroquim | 1 | 58 | 9.94 |
| Martin Kraus | 2 | 12 | 0.80 |
| Paulo Roma Cavalcanti | 3 | 75 | 10.18 |