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» Stereo Matching with Nonlinear Diffusion
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CVPR
2008
IEEE
14 years 6 months ago
Dense 3D reconstruction from specularity consistency
In this work, we consider the dense reconstruction of specular objects. We propose the use of a specularity constraint, based on surface normal/depth consistency, to define a matc...
Diego Nehab, Tim Weyrich, Szymon Rusinkiewicz
CVPR
2011
IEEE
13 years 5 days ago
Face Recognition with Large Pose Variation
2-D face recognition in the presence of large pose variations presents a significant challenge. When comparing a frontal image of a face to a near profile image, one must cope w...
Carlos Castillo, David Jacobs
IJCV
2002
157views more  IJCV 2002»
13 years 4 months ago
Dense Features for Semi-Dense Stereo Correspondence
We present a new feature based algorithm for stereo correspondence. Most of the previous feature based methods match sparse features like edge pixels, producing only sparse dispar...
Olga Veksler
3DIM
2005
IEEE
13 years 10 months ago
Gaussian Scale-Space Dense Disparity Estimation with Anisotropic Disparity-Field Diffusion
We present a new reliable dense disparity estimation algorithm which employs Gaussian scale-space with anisotropic disparity-field diffusion. This algorithm estimates edge-preserv...
Jangheon Kim, Thomas Sikora
ICPR
2008
IEEE
14 years 6 months ago
Towards estimation of dense disparities from stereo images containing large textureless regions
Stereo algorithms for structure reconstruction demand accurate disparities with low mismatch errors and false positives. Mismatch errors in large textureless regions force most ac...
Cathleen A. Geiger, Chandra Kambhamettu, Gowri Som...