An NLP approach to skeletal pose estimation using simulated mmWave radar data
Based on the paper: Arindam Sengupta, Feng Jin, and Siyang Cao. "NLP based Skeletal Pose Estimation using mmWave Radar point-cloud: A Simulation Approach" (Submitted to 2020 IEEE Radar Conference)
Ground Truth, Simulated Radar Point Cloud (std = 5cm), and the reconstructed skeletal keypoints from mmPose-NLP
Ground Truth, Simulated Radar Point Cloud (std = 4cm), and the reconstructed skeletal keypoints from mmPose-NLP
Ground Truth, Simulated Radar Point Cloud (std = 3cm), and the reconstructed skeletal keypoints from mmPose-NLP
Ground Truth, Simulated Radar Point Cloud (std = 2cm), and the reconstructed skeletal keypoints from mmPose-NLP
Ground Truth, Simulated Radar Point Cloud (std = 1cm), and the reconstructed skeletal keypoints from mmPose-NLP
Ground Truth, Simulated Radar Point Cloud (std = 0.75cm), and the reconstructed skeletal keypoints from mmPose-NLP
Ground Truth, Simulated Radar Point Cloud (std = 0.5cm), and the reconstructed skeletal keypoints from mmPose-NLP
Ground Truth, Simulated Radar Point Cloud (std = 0.25cm), and the reconstructed skeletal keypoints from mmPose-NLP
Ground Truth, Simulated Radar Point Cloud (std = 0.1cm), and the reconstructed skeletal keypoints from mmPose-NLP