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» Discrete optimization in computer vision
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ICCV
2009
IEEE
16 years 9 months ago
Structure- and Motion-adaptive Regularization for High Accuracy Optic Flow
The accurate estimation of motion in image sequences is of central importance to numerous computer vision applications. Most competitive algorithms compute flow fields by minimi...
Andreas Wedel, Daniel Cremers, Thomas Pock, Horst ...
118
Voted
ACCV
2009
Springer
15 years 10 months ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
ICPR
2008
IEEE
16 years 5 months ago
Efficient triangulation based on 3D Euclidean optimization
This paper presents a method for triangulation of 3D points given their projections in two images. Recent results show that the triangulation mapping can be represented as a linea...
Klas Nordberg
CVPR
2005
IEEE
16 years 6 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
CVPR
2009
IEEE
16 years 11 months ago
Optimization of Landmark Selection for Cortical Surface Registration
Manually labeled landmark sets are often required as in- puts for landmark-based image registration. Identifying an optimal subset of landmarks from a training dataset may be us...
Anand A. Joshi, David W. Shattuck, Dimitrios Panta...