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» Graph-Theoretical Methods in Computer Vision
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CVPR
2008
IEEE
16 years 4 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
2008
IEEE
16 years 4 months ago
Dynamic visual category learning
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...
Tom Yeh, Trevor Darrell
121
Voted
ICCV
2007
IEEE
16 years 4 months ago
A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm
In this work, we present a common framework for seeded image segmentation algorithms that yields two of the leading methods as special cases - The Graph Cuts and the Random Walker...
Ali Kemal Sinop, Leo Grady
ICCV
2007
IEEE
16 years 4 months ago
A Nonlinear Discriminative Approach to AAM Fitting
The Active Appearance Model (AAM) is a powerful generative method for modeling and registering deformable visual objects. Most methods for AAM fitting utilize a linear parameter u...
Jason Saragih, Roland Göcke
115
Voted
ICCV
2005
IEEE
16 years 4 months ago
On the Equivalence of Common Approaches to Lighting Insensitive Recognition
Lighting variation is commonly handled by methods invariant to additive and multiplicative changes in image intensity. It has been demonstrated that comparing images using the dir...
Margarita Osadchy, David W. Jacobs, Michael Linden...