Name
Abstract | ||
|---|---|---|
The proposed method acquires subsurface-scattering parameters of heterogeneous translucent materials. It directly obtains dense per-surface-point scattering parameters from observations under cross-polarized spherical-gradient illumination of curved surfaces. This method does not require explicit fitting of observed scattering profiles. A variety of heterogeneous translucent objects illustrate its validity. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MCG.2013.22 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
heterogeneous translucent object,polarized spherical-gradient illumination,curved surface,cross-polarized spherical-gradient illumination,observed scattering profile,heterogeneous translucent material,estimating diffusion parameters,explicit fitting,obtains dense per-surface-point,structured light,diffusion approximation,image reconstruction,image sensor | Iterative reconstruction,Isotropy,Computer vision,Structured light,Image sensor,Computer science,Homogeneous,Scattering parameters,Artificial intelligence,Collimated light,Dense set | Conference |
Volume | Issue | ISSN |
33 | 3 | 1558-1756 |
Citations | PageRank | References |
2 | 0.36 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yufeng Zhu | 1 | 2 | 0.36 |
| Pieter Peers | 2 | 1109 | 55.34 |
| Pieter Peers | 3 | 1109 | 55.34 |
| Paul Debevec | 4 | 4955 | 449.10 |
| Abhijeet Ghosh | 5 | 772 | 58.87 |