Name
Abstract | ||
|---|---|---|
Monte Carlo volume rendering (MCVR), which allows for generating X-ray like images, offers significant advantages over existing volume rendering techniques in terms of time and memory complexity. The classical shading for MCVR, however, results in a low quality image. In this paper, a so-called estimators combining technique is presented that estimates a realistic rendering using the Lambertian reflection illumination model. Such a technique is particularly adapted to changes in viewing and lighting, and provides high quality shading images exhibiting strong shape and spatial relationship of objects. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s00371-006-0016-4 | The Visual Computer |
Keywords | Field | DocType |
Volume rendering,Monte Carlo method,Visualization,Computer Graphics | Computer vision,Monte Carlo method,Volume rendering,Computer science,3D rendering,Artificial intelligence,Rendering (computer graphics),Image-based modeling and rendering,Metropolis light transport,Computer graphics,Rendering equation | Journal |
Volume | Issue | ISSN |
22 | 7 | 0178-2789 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoliang Li | 1 | 28 | 7.12 |
| Jie Yang | 2 | 1392 | 157.55 |
| Yuemin Zhu | 3 | 272 | 31.48 |