Name
Title | ||
|---|---|---|
3d Face Recovery From Intensities Of General And Unknown Lighting Using Partial Least Squares |
Abstract | ||
|---|---|---|
We discuss a statistical shape-from-shading framework for images of general and unknown illumination. To overcome arbitrary illumination, the framework makes use of the fact that general lighting can be expressed using low-order spherical harmonics for convex Lambertian objects. We cast the classical shape-from-shading equation as a Partial Least Squares (PLS) regression problem, which allows for the rapid computation of the solution. Results show accurate shape recovery with respect to ground truth data. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIP.2010.5648990 | 2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING |
Keywords | Field | DocType |
Shape-from-shading, model-based, spherical harmonics, partial least squares | Iterative reconstruction,Computer vision,Regression analysis,Computer science,Partial least squares regression,Spherical harmonics,Regular polygon,Ground truth,Artificial intelligence,Photometric stereo,Computation | Conference |
ISSN | Citations | PageRank |
1522-4880 | 8 | 0.49 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ham Rara | 1 | 47 | 4.05 |
| Shireen Y. Elhabian | 2 | 56 | 14.38 |
| Thomas L. Starr | 3 | 23 | 3.02 |
| Aly A. Farag | 4 | 2147 | 172.03 |