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» Nonlinear Mean Shift for Robust Pose Estimation
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CRV
2005
IEEE
205views Robotics» more  CRV 2005»
13 years 10 months ago
Head Pose Estimation of Partially Occluded Faces
This paper describes an algorithm which calculates the approximate head pose of partially occluded faces without training or manual initialization. The presented approach works on...
Markus T. Wenzel, Wolfram Schiffmann
ICPR
2008
IEEE
13 years 11 months ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
ICTAI
2006
IEEE
13 years 10 months ago
An Approximation to Mean-Shift via Swarm Intelligence
Mean shift based feature space analysis has been shown to be an elegant, accurate and robust technique. The elegance in this non-parametric algorithm is mainly due to its simplici...
Mani Thomas, Chandra Kambhamettu
ICRA
2009
IEEE
135views Robotics» more  ICRA 2009»
13 years 11 months ago
A nonlinear observer for 6 DOF pose estimation from inertial and bearing measurements
— This paper considers the problem of estimating pose from inertial and bearing-only vision measurements. We present a non-linear observer that evolves directly on the special Eu...
Grant Baldwin, Robert E. Mahony, Jochen Trumpf
ECCV
2004
Springer
14 years 6 months ago
Image and Video Segmentation by Anisotropic Kernel Mean Shift
Mean shift is a nonparametric estimator of density which has been applied to image and video segmentation. Traditional mean shift based segmentation uses a radially symmetric kerne...
Jue Wang, Bo Thiesson, Yingqing Xu, Michael F. Coh...