Name
Abstract | ||
|---|---|---|
We present a novel algorithm for shape estimation, using both brightness and brightness gradient as input data. Our algorithm is an improvement of the recently introduced Green's function approach to shape-from-shading (GSFS). In GSFS, we assume that the single brightness image will be matched to a second image through a uniform disparity field, and solve for the matching image via Green's function. When a linear expansion of the reflectance map is considered, the matching image can be related to surface gradient, leading to a closed-form depth map whose free parameters are easily estimated. The author shows that the same procedure can be repeated with the gradient image as input; a second depth estimate thus results which takes into account higher-frequency components of the imaged surface. Extensive experimentation with synthetic and real images corroborates the advantage of the new method. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/SIBGRA.2000.883887 | SIBGRAPI |
Keywords | Field | DocType |
single brightness image,input data,gradient image,depth estimate,imaged surface,brightness gradient,real image,matching image,function approach,closed-form depth map,intensity gradient,lighting,stereo vision,reflectivity,free parameters,real images,shape,layout,depth map,brightness,shape from shading,computer vision,photometry,linear expansion,parameter estimation | Computer vision,Surface gradient,Computer science,Artificial intelligence,Depth map,Estimation theory,Real image,Reflectivity,Photometric stereo,Brightness,Free parameter | Conference |
ISSN | ISBN | Citations |
1530-1834 | 0-7695-0878-2 | 0 |
PageRank | References | Authors |
0.34 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José R. A. Torreão | 1 | 59 | 10.18 |
| Torreao, J.R.A. | 2 | 4 | 1.17 |