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» Automatic pose estimation of 3D facial models
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ECCV
2000
Springer
14 years 9 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
CVPR
2004
IEEE
14 years 9 months ago
Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images
This paper addresses the problem of estimating human body pose in static images. This problem is challenging due to the high dimensional state space of body poses, the presence of...
Mun Wai Lee, Isaac Cohen
3DOR
2008
13 years 8 months ago
A 3D Face Recognition Algorithm Using Histogram-based Features
We present an automatic face recognition approach, which relies on the analysis of the three-dimensional facial surface. The proposed approach consists of two basic steps, namely ...
Xuebing Zhou, Helmut Seibert, Christoph Busch, Wol...
CVPR
2008
IEEE
14 years 9 months ago
Real-time 3D segmentation of the left ventricle using deformable subdivision surfaces
In this paper, we extend a computationally efficient framework for real-time 3D tracking and segmentation to support deformable subdivision surfaces. Segmentation is performed in a...
Fredrik Orderud, Stein I. Rabben
CVPR
2009
IEEE
15 years 3 months ago
Dense 3D Motion Capture for Human Faces
This paper proposes a novel approach to motion capture from multiple, synchronized video streams, specifically aimed at recording dense and accurate models of the structure and ...
Yasutaka Furukawa (University of Washington), Jean...