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» Nonlinear Mean Shift for Robust Pose Estimation
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WACV
2007
IEEE
13 years 10 months ago
Nonlinear Mean Shift for Robust Pose Estimation
We propose a new robust estimator for camera pose estimation based on a recently developed nonlinear mean shift algorithm. This allows us to treat pose estimation as a clustering ...
Raghav Subbarao, Yakup Genc, Peter Meer
CVPR
2006
IEEE
13 years 9 months ago
Nonlinear Mean Shift for Clustering over Analytic Manifolds
The mean shift algorithm is widely applied for nonparametric clustering in Euclidean spaces. Recently, mean shift was generalized for clustering on matrix Lie groups. We further e...
Raghav Subbarao, Peter Meer
ICPR
2002
IEEE
14 years 4 months ago
On the Equivalence of Local-Mode Finding, Robust Estimation and Mean-Shift Analysis as Used in Early Vision Tasks
In this paper we show the equivalence of three techniques used in image processing: local-mode finding, robust-estimation and mean-shift analysis. The computational common element...
Rein van den Boomgaard, Joost van de Weijer
ECCV
2006
Springer
14 years 5 months ago
Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
Nan Hu, Weimin Huang, Surendra Ranganath
ICIAR
2007
Springer
13 years 5 months ago
A Simple Oriented Mean-Shift Algorithm for Tracking
Mean-Shift tracking gained a lot of popularity in computer vision community. This is due to its simplicity and robustness. However, the original formulation does not estimate the o...
Jamil Draréni, Sébastien Roy