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MLMI
2007
Springer
14 years 1 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
ICPR
2008
IEEE
14 years 8 months ago
Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm
In this contribution we introduce the Shape Flow algorithm (SF), a novel method for spatio-temporal 3D pose estimation of a 3D parametric curve. The SF is integrated into a tracki...
Markus Hahn, Lars Krüger, Christian Wöhl...
CVPR
2009
IEEE
15 years 2 months ago
Multi-view 3D Human Pose Estimation combining Single-frame Recovery, Temporal Integration and Model Adaptation
We present a system for the estimation of unconstrained 3D human upper body movement from multiple cameras. Its main novelty lies in the integration of three components: single-...
Dariu M. Gavrila, Michael Hofmann
ICCV
2011
IEEE
12 years 7 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
CVPR
2009
IEEE
1524views Computer Vision» more  CVPR 2009»
15 years 2 months ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal