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» Learning Switching Linear Models of Human Motion
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CVPR
2007
IEEE
14 years 10 months ago
Detailed Human Shape and Pose from Images
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...
Alexandru O. Balan, Leonid Sigal, Michael J. Black...
NIPS
2007
13 years 9 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
ICML
2004
IEEE
14 years 8 months ago
Generative modeling for continuous non-linearly embedded visual inference
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
Cristian Sminchisescu, Allan D. Jepson
ICIP
2007
IEEE
14 years 9 months ago
Modeling Time-Varying Illumination Patterns in Video
Recreating the temporal illumination variations of natural scenes has great potential for realistic synthesis of video sequences. In this paper, we present a 3D (model-based) appr...
Yilei Xu, Amit K. Roy Chowdhury
3DPH
2009
128views Healthcare» more  3DPH 2009»
13 years 9 months ago
Predicting Missing Markers in Real-Time Optical Motion Capture
Abstract. A common problem in optical motion capture of human-body movement is the so-called missing marker problem. The occlusion of markers can lead to significant problems in tr...
Tommaso Piazza, Johan Lundström, Andreas Kunz...