Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation

@article{Chen2017AdversarialPA,
  title={Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation},
  author={Yu Chen and Chunhua Shen and Xiu-Shen Wei and Lingqiao Liu and Jian Yang},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={1221-1230}
}
For human pose estimation in monocular images, joint occlusions and overlapping upon human bodies often result in deviated pose predictions. Under these circumstances, biologically implausible pose predictions may be produced. In contrast, human vision is able to predict poses by exploiting geometric constraints of joint inter-connectivity. To address the… CONTINUE READING

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