276 search results - page 10 / 56 » Recovering 3D Human Pose from Monocular Images |
101
Voted
CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
We address the problem of 2D-3D pose estimation in difficult viewing conditions, such as low illumination, cluttered background, and large highlights and shadows that appear on t...
CVPR
2000
IEEE
15 years 11 months ago
2000
IEEE
This paper addresses the problem of recovering 3D non-rigid shape models from image sequences. For example, given a video recording of a talking person, we would like to estimate ...
CVPR
2006
IEEE
15 years 3 months ago
2006
IEEE
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
CRV
2008
IEEE
15 years 4 months ago
2008
IEEE
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
105
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PR
2007
14 years 9 months ago
2007
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...