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» Discrete optimization in computer vision
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JPDC
2006
117views more  JPDC 2006»
13 years 10 months ago
Efficient synthesis of out-of-core algorithms using a nonlinear optimization solver
We address the problem of efficient out-of-core code generation for a special class of imperfectly nested loops encoding tensor contractions arising in quantum chemistry computati...
Sandhya Krishnan, Sriram Krishnamoorthy, Gerald Ba...
COMPGEOM
1998
ACM
14 years 2 months ago
Geometric Applications of a Randomized Optimization Technique
Abstract. We propose a simple, general, randomized technique to reduce certain geometric optimization problems to their corresponding decision problems. These reductions increase t...
Timothy M. Chan
SCALESPACE
2001
Springer
14 years 2 months ago
Gaussian Convolutions. Numerical Approximations Based on Interpolation
Abstract. Gaussian convolutions are perhaps the most often used image operators in low-level computer vision tasks. Surprisingly though, there are precious few articles that descri...
Rein van den Boomgaard, Rik van der Weij
ICCV
2011
IEEE
12 years 10 months ago
Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution
We propose a novel method for computing a geometrically consistent and spatially dense matching between two 3D shapes. Rather than mapping points to points we match infinitesimal...
Thomas Windheuser, Ulrich Schlickewei, Frank R. Sc...
CVPR
2008
IEEE
14 years 12 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher