Estimating the 2D human poses in each view is typically the first step in calibrated multi-view 3D pose estimation. But the performance of 2D pose detectors suffers from challenging …
R Josyula, S Ostadabbas - arXiv preprint arXiv:2110.06877, 2021 - arxiv.org
The phenomenon of Human Pose Estimation (HPE) is a problem that has been explored over the years, particularly in computer vision. But what exactly is it? To answer this, the …
X Zhang, H Huang, J Tan, H Xu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Analyzing and understanding hand information from multimedia materials like images or videos is important for many real world applications and remains to be very active in …
This paper investigates the task of 2D whole-body human pose estimation, which aims to localize dense landmarks on the entire human body including body, feet, face, and hands …
Reconstructing 3D hand meshes from monocular RGB images has attracted increasing amount of attention due to its enormous potential applications in the field of AR/VR. Most …
Z Wang, D Shin, CC Fowlkes - … 2020 Workshops: Glasgow, UK, August 23 …, 2020 - Springer
Monocular estimation of 3d human pose has attracted increased attention with the availability of large ground-truth motion capture datasets. However, the diversity of training …
Abstract Hand Gesture Recognition (HGR) is a challenging computer vision task. Recently, by taking advantages of deep learning-based models, HGR methods have achieved …
Advances in self-supervised learning, especially in contrastive learning, have drawn attention to investigating these techniques in providing effective visual representations from …
S An, X Zhang, D Wei, H Zhu, J Yang… - Journal of Systems …, 2022 - Elsevier
Hand pose estimation is a fundamental task in many human–robot interaction-related applications. However, previous approaches suffer from unsatisfying hand landmark …