Abstract Three-dimensional (3D) human pose estimation involves estimating the articulated
3D joint locations of a human body from an image or video. Due to its widespread …

One of the main challenges in machine vision relates to the problem of obtaining robust
representation of visual features that remain unaffected by geometric transformations. This …

Earthwork operations are crucial parts of most construction projects. Heavy construction
equipment and workers are often required to work in limited workspaces simultaneously …

Recovering 3D human pose from 2D joints is a highly unconstrained problem. We propose a
novel neural network framework, PoseNet3D, that takes 2D joints as input and outputs 3D …

We propose a novel method based on teacher-student learning framework for 3D human
pose estimation without any 3D annotation or side information. To solve this unsupervised …

3D human pose estimation describes estimating 3D articulation structure of a person from
an image or a video. The technology has massive potential because it can enable tracking …

Currently, the utilization of micro-computer-aided technologies for the dynamic motion
capture of sports digitalization is increasing gradually. To obtain the accurate athletics digital …

3D human pose estimation (HPE) has become increasingly important in baseball analytic,
but there are several difficulties pertaining to pose estimation in real-world baseball pitching …

This thesis presents computer vision and artificial intelligence methods to enable monitoring
of construction operations such as earthwork using ordinary cameras in order to improve …