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CVPR
2003
IEEE
16 years 8 months ago
Deformable Object Tracking Using the Boundary Element Method
This paper presents a method to perform 2D deformable object tracking using the boundary element method (BEM). BEM, like the finite element method (FEM), is a technique to model a...
Michael A. Greminger, Bradley J. Nelson
CVPR
2003
IEEE
1110views Computer Vision» more  CVPR 2003»
16 years 8 months ago
Motion Segmentation with Accurate Boundaries - A Tensor Voting Approach
Producing an accurate motion flow field is very difficult at motion boundaries. We present a novel, noniterative approach for segmentation from image motion, based on two voting p...
Gérard G. Medioni, Mircea Nicolescu
CVPR
2004
IEEE
16 years 8 months ago
Lie-Algebraic Averaging for Globally Consistent Motion Estimation
While motion estimation has been extensively studied in the computer vision literature, the inherent information redundancy in an image sequence has not been well utilised. In par...
Venu Madhav Govindu
CVPR
2005
IEEE
16 years 8 months ago
Matching with PROSAC - Progressive Sample Consensus
A new robust matching method is proposed. The Progressive Sample Consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity fu...
Ondrej Chum, Jiri Matas
CVPR
2005
IEEE
16 years 8 months ago
Estimating Disparity and Occlusions in Stereo Video Sequences
We propose an algorithm for estimating disparity and occlusion in stereo video sequences. The algorithm defines a prior on sequences of disparity maps using a 3D Markov random fie...
Oliver M. C. Williams, Michael Isard, John MacCorm...