[PDF][PDF] A survey on 3D hand skeleton and pose estimation by convolutional neural network

VH Le, HC Nguyen - Adv. Sci. Technol. Eng. Syst, 2020 - pdfs.semanticscholar.org
Restoring, estimating the fully 3D hand skeleton and pose from the image data of the
captured sensors/cameras applied in many applications of computer vision and robotics …

Bi-stream pose-guided region ensemble network for fingertip localization from stereo images

G Wang, C Zhang, X Chen, X Ji… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In human-computer interaction, it is important to accurately estimate the hand pose,
especially fingertips. However, traditional approaches to fingertip localization mainly rely on …

Hand Activity Recognition From Automatic Estimated Egocentric Skeletons Combining Slow Fast and Graphical Neural Networks

VD Le, VN Hoang, TT Nguyen, VH Le… - Vietnam Journal of …, 2023 - World Scientific
In this paper, we present an unified framework for understanding hand action from the first-
person video. The proposed framework composes two main components. The first …

[PDF][PDF] A Deep Regression Network with Key-joints Localization for Accurate Hand Pose Estimation

SL Tito, JF Banzi, AN Mvuma - International Journal of Machine Learning …, 2022 - ijmlc.org
In this paper, a new method is proposed to improve hand joint regression in 3D hand pose
estimation. The existing methods regress all joints together given a depth map. This causes …

[PDF][PDF] Bi-stream Region Ensemble Network: Promoting Accuracy in Fingertip Localization from Stereo Images.

C Zhang, G Wang, X Chen, H Yang - BMVC, 2018 - bmvc2018.org
Accurate fingertip localization is an important and challenging problem in Human Computer
Interaction (HCI). Previous research on hand pose estimation are mainly based on depth …