• Corpus ID: 160017424

Learning Pose Grammar for Monocular 3 D Pose Estimation

@inproceedings{Xu2019LearningPG,
  title={Learning Pose Grammar for Monocular 3 D Pose Estimation},
  author={Yuanlu Xu and Wenguan Wang and Xiaobai Liu and Jianwen Xie and Jianbing Shen and Song-Chun Zhu},
  year={2019}
}
In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation from a monocular RGB image. Our model takes estimated 2D pose as the input and learns a generalized 2D-3D mapping function to leverage into 3D pose. The proposed model consists of a base network which efficiently captures pose-aligned features and a hierarchy of Bi-directional RNNs (BRNNs) on the top to explicitly incorporate a set of knowledge regarding human body configuration (i.e., kinematics… 

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