In this work, a framework for the reconstruction of smooth surface shapes from shading images is presented. The method is based on using a backpropagationbased neural network for ...
Shape from shading (SfS) has always been difficult for real applications due to its intrinsic ill-posedness. In this paper, we propose an interactive SfS method which efficiently ...
Gang Zeng, Yasuyuki Matsushita, Long Quan, Heung-Y...
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 real im...
Recovering 3D shape from shading is an ill-posed problem that the visual system can solve only by making use of additional information such as the position of the light source. Pr...
James P. O'Shea, Martin S. Banks, Maneesh Agrawala
In this paper we present a two-level generative model for representing the images and surface depth maps of drapery and clothes. The upper level consists of a number of folds whic...