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» Efficient image alignment using linear appearance models
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CVPR
2007
IEEE
15 years 11 months ago
Efficient Belief Propagation for Vision Using Linear Constraint Nodes
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
Brian Potetz
CVIU
2006
166views more  CVIU 2006»
14 years 9 months ago
Non-parametric and light-field deformable models
Statistical shape-and-texture appearance models use image morphing to define a rich, compact representation of object appearance. They are useful in a variety of applications incl...
Chris Mario Christoudias, Louis-Philippe Morency, ...
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ICIP
2005
IEEE
15 years 11 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
PRL
2007
209views more  PRL 2007»
14 years 9 months ago
Rigid and non-rigid face motion tracking by aligning texture maps and stereo 3D models
Accurate rigid and non-rigid tracking of faces is a challenging task in computer vision. Recently, appearance-based 3D face tracking methods have been proposed. These methods can ...
Fadi Dornaika, Angel Domingo Sappa
ICASSP
2010
IEEE
14 years 9 months ago
Shape matching based on graph alignment using hidden Markov models
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Xiaoning Qian, Byung-Jun Yoon