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MVA
1996
205views Computer Vision» more  MVA 1996»
13 years 7 months ago
Highlight Separation Using Multiple Images with Intensities and Ranges.
In this paper, a method for extracting influences of specular reflection and shade from multiple color images is described. As regards extraction, the di-chromatic reflection mode...
Masaki Otsuki, Yukio Sato
CVPR
2008
IEEE
14 years 4 days ago
Recovering Shape Characteristics on Near-flat Specular Surfaces
We consider the problem of capturing shape characteristics on specular (refractive and reflective) surfaces that are nearly flat. These surfaces are difficult to model using tradit...
Yuanyuan Ding and Jingyi Yu
CVPR
2005
IEEE
14 years 8 months ago
Estimating 3D Shape and Texture Using Pixel Intensity, Edges, Specular Highlights, Texture Constraints and a Prior
We present a novel algorithm aiming to estimate the 3D shape, the texture of a human face, along with the 3D pose and the light direction from a single photograph by recovering th...
Sami Romdhani, Thomas Vetter
PAMI
2007
183views more  PAMI 2007»
13 years 5 months ago
Variational Surface Interpolation from Sparse Point and Normal Data
Many visual cues for surface reconstruction from known views are sparse in nature, e.g. specularities, surface silhouettes and salient features in an otherwise textureless region....
Jan Erik Solem, Henrik Aanæs, Anders Heyden
CVPR
2010
IEEE
14 years 2 months ago
Specular Surface Reconstruction from Sparse Reflection Correspondences
We present a practical approach for surface reconstruction of smooth mirror-like objects using sparse reflection correspondences (RCs). Assuming finite object motion with a fix...
Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel...