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139
Voted
CVPR
2001
IEEE
16 years 6 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
CVPR
2007
IEEE
16 years 6 months ago
Efficient Sampling of Disparity Space for Fast And Accurate Matching
A simple stereo matching algorithm is proposed that visits only a small fraction of disparity space in order to find a semi-dense disparity map. It works by growing from a small s...
Jan Cech, Radim Sára
CVPR
2008
IEEE
16 years 6 months ago
Globally optimal shape-based tracking in real-time
Most algorithms for real-time tracking of deformable shapes provide sub-optimal solutions for a suitable energy minimization task: The search space is typically considered too lar...
Thomas Schoenemann, Daniel Cremers
ICCV
2005
IEEE
16 years 6 months ago
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
Kristen Grauman, Trevor Darrell
134
Voted
ECCV
2008
Springer
16 years 6 months ago
Robust Optimal Pose Estimation
Abstract. We study the problem of estimating the position and orientation of a calibrated camera from an image of a known scene. A common problem in camera pose estimation is the e...
Olof Enqvist, Fredrik Kahl