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ICCV
2011
IEEE
7 years 11 months ago
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
Human motion capturing (HMC) from multiview image sequences constitutes an extremely difficult problem due to depth and orientation ambiguities and the high dimensionality of the s...
Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laur...
CVPR
2011
IEEE
8 years 3 months ago
Learning Effective Human Pose Estimation from Inaccurate Annotation
The task of 2-D articulated human pose estimation in natural images is extremely challenging due to the high level of variation in human appearance. These variations arise from di...
Sam Johnson, Mark Everingham
ICCV
2009
IEEE
8 years 5 months ago
Efficient human pose estimation via parsing a tree structure based human model
Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. v...
Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weimi...
BMVC
2010
8 years 5 months ago
Localized fusion of Shape and Appearance features for 3D Human Pose Estimation
This paper presents a learning-based method for combining the shape and appearance feature types for 3D human pose estimation from single-view images. Our method is based on clust...
Suman Sedai, Mohammed Bennamoun, Du Q. Huynh
BMVC
2010
8 years 5 months ago
Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation
We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and i...
Sam Johnson, Mark Everingham

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andrilukaResearch Scientist, PhD
TU Darmstadt
andriluka
ECCV
2010
Springer
9 years 16 days ago
2D Action Recognition Serves 3D Human Pose Estimation
3D human pose estimation in multi-view settings benefits from embeddings of human actions in low-dimensional manifolds, but the complexity of the embeddings increases with the num...
ACCV
2009
Springer
9 years 5 months ago
Estimating Human Pose from Occluded Images
We address the problem of recovering 3D human pose from single 2D images, in which the pose estimation problem is formulated as a direct nonlinear regression from image observation...
Jia-Bin Huang and Ming-Hsuan Yang
ICCV
2007
IEEE
9 years 9 months ago
Shining a Light on Human Pose: On Shadows, Shading and the Estimation of Pose and Shape
Strong lighting is common in natural scenes yet is often viewed as a nuisance for object pose estimation and tracking. In human shape and pose estimation, cast shadows can be conf...
Alexandru O. Balan, Michael J. Black, Horst W. Hau...
CVPR
2008
IEEE
9 years 9 months ago
Context and observation driven latent variable model for human pose estimation
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
Abhinav Gupta, Trista Chen, Francine Chen, Don Kim...
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