We present the first real-time method to capture the full global 3D skeletal pose of a human
in a stable, temporally consistent manner using a single RGB camera. Our method combines …

Trajectory basis Non-Rigid Structure from Motion (NRSfM) refers to the process of
reconstructing the 3D trajectory of each point of a non-rigid object from just their 2D …

We present SkeletonPose, a novel method to improve the accuracy of 3D human pose
estimation via human skeleton constraints. In contrast to other state-of-the-art 3D pose …

This article tackles the problem of estimating non-rigid human 3D shape and motion from
image sequences taken by uncalibrated cameras. Similar to other state-of-the-art solutions …

Reasoning the 3D structure of a non-rigid dynamic scene from a single moving camera is an
under-constrained problem. Inspired by the remarkable progress of neural radiance fields …

Many non-rigid 3D structures are not modelled well through a low-rank subspace
assumption. This is problematic when it comes to their reconstruction through Structure from …

Trajectory basis Non-Rigid Structure From Motion (NRSFM) currently faces two problems:
the limit of reconstructability and the need to tune the basis size for different sequences. This …

This paper proposes a new approach for nonrigid structure from motion with occlusion,
based on sparse representation. We address the occlusion problem based on the latest …

This work introduces a method to robustly reconstruct 3D human motion from the motion of
2D skeletal landmarks. We propose to use a lasso (least absolute shrinkage and selection …

Deep network recently has achieved promising performance for classification task with
massive training samples. The behavior of this model, however, would be diminished …