Despite recent advances in modeling the Shape-from-Shading (SFS) problem and its
numerical solution, practical applications have been limited. This is primarily due to the lack …

Algorithms are developed to recover the depth and orientation maps of a surface from its
image intensities. They combine the advantages of stereo vision and shape-from-shading …

This paper considers the problem of shape-from-shading using nearby planar distributed
illuminants. It is shown that a rectangular planar nearby distributed uniform isotropic …

Several algorithms are suggested for recovering depth and orientation maps of a surface
from its image intensities. They combine the advantages of stereo vision and shape-from …

The traditional shape-from-shading problem, with a single light source and Lambertian
reflectance, is challenging since the constraints implied by the illumination are not sufficient …

Shape-from-shading (SFS) is a fundamental problem in computer vision. The vast majority of
research in this field have assumed orthography as its projection model. This paper …

Traditional Shape-from-Shading (SFS) techniques aim to solve an under-constrained
problem: estimating depth map from one single image. The results are usually brittle from …

Most conventional SFS (shape from shading) algorithms have been developed under the
assumption of orthographic projection. However, the assumption is not valid when an object …

Although variational methods are popular techniques in the context of shape-from-shading,
they are in general restricted to indirect approaches that only estimate the gradient of the …

Shape from shading and photometric stereo are two fundamental problems in computer
vision aimed at reconstructing surface depth given either a single image taken under a …