3 papers
cs.CV2023
Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation
Soubarna Banik, Patricia Gschoßmann, Alejandro Mendoza Garcia +1
Occlusion is an omnipresent challenge in 3D human pose estimation (HPE). In spite of the large amount of research dedicated to 3D HPE, only a limited number of studies address the…
cs.CV2021
Vogtareuth Rehab Depth Datasets: Benchmark for Marker-less Posture Estimation in Rehabilitation
Soubarna Banik, Alejandro Mendoza Garcia, Lorenz Kiwull +2
Posture estimation using a single depth camera has become a useful tool for analyzing movements in rehabilitation. Recent advances in posture estimation in computer vision research…
cs.CV2021
3D Human Pose Regression using Graph Convolutional Network
Soubarna Banik, Alejandro Mendoza Gracia, Alois Knoll
3D human pose estimation is a difficult task, due to challenges such as occluded body parts and ambiguous poses. Graph convolutional networks encode the structural information of t…