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CVPR
2010
IEEE
14 years 4 months ago
Fast Global Optimization of Curvature
Two challenges in computer vision are to accommodate noisy data and missing data. Many problems in computer vision, such as segmentation, filtering, stereo, reconstruction, inpain...
Noha El-Zehiry, Leo Grady
ECCV
2008
Springer
13 years 9 months ago
Reformulating and Optimizing the Mumford-Shah Functional on a Graph - A Faster, Lower Energy Solution
Active contour formulations predominate current minimization of the Mumford-Shah functional (MSF) for image segmentation and filtering. Unfortunately, these formulations necessitat...
Leo Grady, Christopher V. Alvino
ICCV
2009
IEEE
1714views Computer Vision» more  ICCV 2009»
15 years 14 days ago
Power watersheds: a new image segmentation framework extending graph cuts, random walker and optimal spanning forest
In this work, we extend a common framework for seeded image segmentation that includes the graph cuts, ran- dom walker, and shortest path optimization algorithms. Viewing an ima...
Camille Couprie, Leo Grady, Laurent Najman, Hugues...
EMMCVPR
2011
Springer
12 years 7 months ago
Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
Noha Youssry El-Zehiry, Leo Grady
ICRA
1998
IEEE
126views Robotics» more  ICRA 1998»
13 years 11 months ago
Matrix Normalization for Optimal Robot Design
Good robot performance often relies upon the selection of design parameters that lead to a well conditioned Jacobian or impedance "design" matrix. In this paper, a new d...
Leo J. Stocco, S. E. Salcudean, F. Sassani