ICCV
2011
IEEE
13 years 4 months ago
2011
IEEE
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...
CVPR
2011
IEEE
13 years 9 months ago
2011
IEEE
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...
ICCV
2009
IEEE
13 years 10 months ago
2009
IEEE
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...
BMVC
2010
13 years 10 months ago
2010
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...
BMVC
2010
13 years 10 months ago
2010
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...
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ECCV
2010
Springer
14 years 5 months ago
2010
Springer
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
14 years 11 months ago
2009
Springer
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...
ICCV
2007
IEEE
15 years 2 months ago
2007
IEEE
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...
CVPR
2008
IEEE
15 years 2 months ago
2008
IEEE
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...