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