For over thirty years researchers have been trying to solve the shape from shading problem of determining 3D shape from a single image with a single light source. The basic problem of determining shape from shading is made more difficult due to challenges of light orientation, camera type, ambiguity, multiple materials, and specular highlights. This paper shows how some of these challenges can be overcome through the use of other techniques such as image segmentation and stereopsis. We present a new hybrid method of shape from shading that can be used to autonomously capture 3D information from two 2D images of single objects with multiple peaks and multiple materials with specular components
The paper presents a new approach for shape recovery based on integrating geometric and photometric ...
The human visual system can easily interpret patterns of shading and attribute them to 3D surfaces. ...
Abstract—A fundamental problem in computer vision is that of inferring the intrinsic, 3D structure o...
We present a new analytic and numerical approach to the shape from shading using photometric stereo ...
In general, shape from shading (SFS) involves the solution of an under-determined system, so it is d...
We present a new technique for estimating the 3D shape of an object that combines previous ideas fr...
Shape From Shading is the process of computing the threedimensional shape of a surface from one imag...
Traditional shape from shading techniques, using a single image, do not reconstruct accurate surface...
The Shape-From-Shading (SFS) problem is a fundamental and classical problem m computer vision. It ...
A cooperative integration of stereopsis and shape-from-shading is presented. The integration makes t...
A method will be described for finding the shape of a smooth apaque object form a monocular image,...
We address the multi-view shape from shading problem, that is the recovery of 3-D shape, lighting co...
Recovering the 3D shape of an object from shading is a challenging problem due to the complexity of ...
Recovering the 3D shape of an object from shading is a challenging problem due to the complexity of ...
International audienceWe address the multi-view shape from shading problem, that is the recovery of ...
The paper presents a new approach for shape recovery based on integrating geometric and photometric ...
The human visual system can easily interpret patterns of shading and attribute them to 3D surfaces. ...
Abstract—A fundamental problem in computer vision is that of inferring the intrinsic, 3D structure o...
We present a new analytic and numerical approach to the shape from shading using photometric stereo ...
In general, shape from shading (SFS) involves the solution of an under-determined system, so it is d...
We present a new technique for estimating the 3D shape of an object that combines previous ideas fr...
Shape From Shading is the process of computing the threedimensional shape of a surface from one imag...
Traditional shape from shading techniques, using a single image, do not reconstruct accurate surface...
The Shape-From-Shading (SFS) problem is a fundamental and classical problem m computer vision. It ...
A cooperative integration of stereopsis and shape-from-shading is presented. The integration makes t...
A method will be described for finding the shape of a smooth apaque object form a monocular image,...
We address the multi-view shape from shading problem, that is the recovery of 3-D shape, lighting co...
Recovering the 3D shape of an object from shading is a challenging problem due to the complexity of ...
Recovering the 3D shape of an object from shading is a challenging problem due to the complexity of ...
International audienceWe address the multi-view shape from shading problem, that is the recovery of ...
The paper presents a new approach for shape recovery based on integrating geometric and photometric ...
The human visual system can easily interpret patterns of shading and attribute them to 3D surfaces. ...
Abstract—A fundamental problem in computer vision is that of inferring the intrinsic, 3D structure o...