Surface gradients are useful to surface reconstruction in single view modeling, shape-from-shading, and photometric stereo. Previous algorithms minimize a complex, nonlinear energy functional, or require dense surface gradients to perform integration to generate 3D locations, or require user-input heights to constrain the solution space, or produce severe distortion and smooth out surface details. Most single-view algorithms output a Monge patch (height-field), which may introduce further surface distortion along object silhouettes and surface orientation discontinuities. Our proposed algorithm operates on a single view of complete or incomplete data. The data can be gradients without 3D locations, or 3D locations without gradients. The out...
We describe a robust method for the recovery of the depth map (or height map) from a gradient map (o...
Computing shape and depth from stereo vision and shading is one of the important perceptual tasks in...
Zero-crossing or feature-point based stereo algorithms can, by definition, determine explicit dept...
Surface reconstruction recovers complete and coherent surfaces from scattered, noisy data. Viewpoint...
Abstract: The method described here for recovering the shape of a surface from a shaded image can de...
Surface reconstruction from gradient fields is a fundamental problem to shape from shading and photo...
Reconstructing a surface from sparse sensory data is a well known problem in computer vision. Earl...
Abstract. This paper presents a strategy for rapid reconstruction of surfaces in 3d which only uses ...
an iterative shape-from-shading (SFS) algorithm that uses a single image, by combining a triangular-...
We propose a generalized equation to represent a continuum of surface reconstruction solutions of a ...
We address the problem of reconstructing 3D shapes from color data available in a sparse set of view...
We present a generalized method for reconstructing the shape of an object from measured gradient dat...
This thesis presents algorithms for visual surface reconstruction from scattered data, explicitly de...
We describe a robust method for the recovery of the depth map (or height map) from a gradient map (o...
We present a generalized method for reconstructing the shape of an object from measured gradient dat...
We describe a robust method for the recovery of the depth map (or height map) from a gradient map (o...
Computing shape and depth from stereo vision and shading is one of the important perceptual tasks in...
Zero-crossing or feature-point based stereo algorithms can, by definition, determine explicit dept...
Surface reconstruction recovers complete and coherent surfaces from scattered, noisy data. Viewpoint...
Abstract: The method described here for recovering the shape of a surface from a shaded image can de...
Surface reconstruction from gradient fields is a fundamental problem to shape from shading and photo...
Reconstructing a surface from sparse sensory data is a well known problem in computer vision. Earl...
Abstract. This paper presents a strategy for rapid reconstruction of surfaces in 3d which only uses ...
an iterative shape-from-shading (SFS) algorithm that uses a single image, by combining a triangular-...
We propose a generalized equation to represent a continuum of surface reconstruction solutions of a ...
We address the problem of reconstructing 3D shapes from color data available in a sparse set of view...
We present a generalized method for reconstructing the shape of an object from measured gradient dat...
This thesis presents algorithms for visual surface reconstruction from scattered data, explicitly de...
We describe a robust method for the recovery of the depth map (or height map) from a gradient map (o...
We present a generalized method for reconstructing the shape of an object from measured gradient dat...
We describe a robust method for the recovery of the depth map (or height map) from a gradient map (o...
Computing shape and depth from stereo vision and shading is one of the important perceptual tasks in...
Zero-crossing or feature-point based stereo algorithms can, by definition, determine explicit dept...