Joint estimation of the human body is suitable for many fields such as human–computer
interaction, autonomous driving, video analysis and virtual reality. Although many depth …

Imitation of the upper body motions of human demonstrators or animation characters to
human-shaped robots is studied in this paper. We present a pipeline for motion retargeting …

Motion retargeting between heterogeneous polymorphs with different sizes and kinematic
configurations requires a comprehensive knowledge of (inverse) kinematics. Moreover, it is …

Motion retargeting from a human demonstration to a robot is an effective way to reduce the
professional requirements and workload of robot programming, but faces the challenges …

Predicting depth from a monocular image is an ill-posed and inherently ambiguous issue in
computer vision. In this paper, we propose a pyramidal third-streamed network (PTSN) that …

Whole-body motion imitation has gained wide attention in recent years as it can enhance the
locomotive capabilities of humanoid robots. In this task, non-intrusive human motion …

We address the problem of depth estimation from a single monocular image in the paper.
Depth estimation from a single image is an ill-posed and inherently ambiguous problem. In …

Human-robot motion retargeting is a complex nonlinear problem, due to heterogeneous
kinematic configuration between human and robot. Recent efforts aim to tackle the …

Motion retargeting is an active research area in computer graphics and animation, allowing
for the transfer of motion from one character to another, thereby creating diverse animated …