3D face recovery from intensities of general and unknown lighting using Partial Least Squares
| Autor: | Ham Rara, Thomas L. Starr, Shireen Y. Elhabian, Aly A. Farag |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Ground truth
business.industry Computation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Regular polygon Spherical harmonics Iterative reconstruction Photometric stereo Face (geometry) Partial least squares regression Computer vision Artificial intelligence business Algorithm ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | ICIP |
| DOI: | 10.1109/icip.2010.5648990 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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