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» Learning Depth from Stereo
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TOG
2012
160views Communications» more  TOG 2012»
11 years 10 months ago
Highlight microdisparity for improved gloss depiction
Human stereo perception of glossy materials is substantially different from the perception of diffuse surfaces: A single point on a diffuse object appears the same for both eyes, ...
Krzysztof Templin, Piotr Didyk, Tobias Ritschel, K...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 8 days ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...

Publication
338views
14 years 6 months ago
Shape from Shading with a Generalized Reflectance Map Model
Most conventional SFS (shape from shading) algorithms have been developed under three basic assumptions on surface properties and imaging geometry to simplify the problem, namely, ...
Kyoung Mu Lee (Seoul National University), C.-C. J...
CVPR
2009
IEEE
1037views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Piecewise Planar City 3D Modeling from Street View Panoramic Sequences
City environments often lack textured areas, contain repetitive structures, strong lighting changes and therefore are very difficult for standard 3D modeling pipelines. We prese...
Branislav Micusík, Jana Kosecka
IJON
2008
158views more  IJON 2008»
13 years 7 months ago
An adaptive stereo basis method for convolutive blind audio source separation
We consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FDICA), or time-fre...
Maria G. Jafari, Emmanuel Vincent, Samer A. Abdall...