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» Graph-Theoretical Methods in Computer Vision
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202
Voted
CVPR
1996
IEEE
16 years 9 months ago
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
This paper describes a new method for estimating optical flow that strikes a balance between the flexibility of local dense computations and the robustness and accuracy of global ...
Shanon X. Ju, Michael J. Black, Allan D. Jepson
190
Voted
CVPR
1998
IEEE
16 years 9 months ago
Image Segmentation Using Local Variation
We present a new graph-theoretic approach to the problem of image segmentation. Our method uses local criteria and yet produces results that reflect global properties of the image...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
205
Voted
CVPR
1999
IEEE
16 years 9 months ago
Histogram Clustering for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic grouping of distributional histogram data. Adopting the Bayesian framework, we propose to perform anneale...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
186
Voted
CVPR
1999
IEEE
16 years 9 months ago
Robot Localization using Uncalibrated Camera Invariants
We describe a set of image measurements which are invariant to the camera internals but are location variant. We show that using these measurements it is possible to calculate the...
Michael Werman, MaoLin Qiu, Subhashis Banerjee, Su...
204
Voted
CVPR
2000
IEEE
16 years 9 months ago
Real-Time Tracking of Non-Rigid Objects Using Mean Shift
A new method for real-time tracking of non-rigid objects seen from a moving camera is proposed. The central computational module is based on the mean shift iterations and nds the ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer