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CVPR
2008
IEEE
15 years 11 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...
CVPR
2008
IEEE
15 years 11 months ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
WACV
2002
IEEE
15 years 2 months ago
Pose Estimation and Integration for Complete 3D Model Reconstruction
An automatic 3D model reconstruction technique is presented to acquire complete 3D models of real objects. The technique is based on novel approaches to pose estimation and integr...
Soon-Yong Park, Murali Subbarao
CVPR
2008
IEEE
15 years 11 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
ICPR
2008
IEEE
15 years 4 months ago
Automatic pose estimation of 3D facial models
Pose estimation plays an essential role in many computer vision applications, such as human computer interaction (HCI), driver attentiveness monitoring, face recognition, automati...
Yi Sun, Lijun Yin