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» Recovering 3D Human Pose from Monocular Images
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ICCV
2005
IEEE
15 years 11 months ago
Recovering Human Body Configurations Using Pairwise Constraints between Parts
The goal of this work is to recover human body configurations from static images. Without assuming a priori knowledge of scale, pose or appearance, this problem is extremely chall...
Xiaofeng Ren, Alexander C. Berg, Jitendra Malik
ICASSP
2009
IEEE
15 years 4 months ago
Multi-view tracking of articulated human motion in silhouette and pose manifolds
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
Feng Guo, Gang Qian
ICCV
1995
IEEE
15 years 1 months ago
Complete Scene Structure from Four Point Correspondences
A new technique is presented for computing 3D scene structure from point and line features in monocular image sequences. Unlike previous methods, the technique guarantees the comp...
Steven M. Seitz, Charles R. Dyer
CVPR
2011
IEEE
14 years 1 months ago
Symmetric Piecewise Planar Object Reconstruction from a Single Image
Recovering 3D geometry from a single view of an object is an important and challenging problem in computer vision. Previous methods mainly focus on one specific class of objects ...
Tianfan XUE, Jianzhuang LIU
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DAGM
2006
Springer
15 years 1 months ago
Nonparametric Density Estimation for Human Pose Tracking
The present paper considers the supplement of prior knowledge about joint angle configurations in the scope of 3-D human pose tracking. Training samples obtained from an industrial...
Thomas Brox, Bodo Rosenhahn, Uwe G. Kersting, Dani...