Recovering human pose from RGB images and videos has drawn increasing attention in
recent years owing to minimum sensor requirements and applicability in diverse fields such …

Since the dawn of Humanity, to communicate both abstract and concrete ideas, visualization
through visual imagery has been an effective way. With the advancement of scientific …

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 …

Human modelling and pose estimation stands at the crossroads of Computer Vision,
Computer Graphics, and Machine Learning. This paper presents a thorough investigation of …

Human pose estimation in images is an important and challenging problem in Computer
Vision. Currently, methods that employ deep learning techniques excel in the task of 2D …

This paper investigated pose representation within the field of unsupervised 2D-3D human
pose estimation (HPE). All current unsupervised 2D-3D HPE approaches provide the entire …

Three-dimensional (3D) human pose estimation aims to locate 3D keypoints of individuals
from given input RGB images. For two-dimensional (2D) human pose estimation problems …

This paper addresses the problem of 2D pose representation during unsupervised 2D to 3D
pose lifting to improve the accuracy, stability and generalisability of 3D human pose …

3D human pose estimation is a highly evolving area of research within computer vision with
numerous real-world applications such as animation, human-robot interaction and security …

The safety of vulnerable road users is of paramount importance as transport moves towards
fully automated driving. The richness of real-world data required for testing autonomous …