DocumentCode
2086985
Title
A New Formulation for Shape from Shading for Non-Lambertian Surfaces
Author
Ahmed, Abdelrehim H. ; Farag, Aly A.
Author_Institution
University of Louisville, Louisville, KY
Volume
2
fYear
2006
fDate
2006
Firstpage
1817
Lastpage
1824
Abstract
Lambert’s model for diffuse reflection is a main assumption in most of shape from shading (SFS) literature. Even with this simplified model, the SFS is still a difficult problem. Nevertheless, Lambert’s model has been proven to be an inaccurate approximation of the diffuse component of the surface reflectance. In this paper, we propose a new solution of the SFS problem based on a more comprehensive diffuse reflectance model: the Oren and Nayar model. In this work, we slightly modify this more realistic model in order to take into account the attenuation of the illumination due to distance. Using the modified non-Lambertian reflectance, we design a new explicit Partial Differential Equation (PDE) and then solve it using Lax-Friedrichs Sweeping method. Our experiments on synthetic data show that the proposed modeling gives a unique solution without any information about the height at the singular points of the surface. Additional results for real data are presented to show the efficiency of the proposed method . To the best of our knowledge, this is the first non-Lambertian SFS formulation that eliminates the concave/convex ambiguity which is a well known problem in SFS.
Keywords
Brightness; Cameras; Computer vision; Light sources; Lighting; Optical imaging; Reflectivity; Rough surfaces; Shape; Surface roughness;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-2597-0
Type
conf
DOI
10.1109/CVPR.2006.35
Filename
1640974
Link To Document