Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …

The field of vision-based human hand three-dimensional (3D) shape and pose estimation
has attracted significant attention recently owing to its key role in various applications, such …

Most of the existing deep learning-based methods for 3D hand and human pose estimation
from a single depth map are based on a common framework that takes a 2D depth map and …

Abstract Convolutional Neural Network (CNN) has shown promising results for 3D hand
pose estimation in depth images. Different from existing CNN-based hand pose estimation …

Abstract 3D hand pose estimation is still far from a well-solved problem mainly due to the
highly nonlinear dynamics of hand pose and the difficulties of modeling its inherent …

For 3D hand and body pose estimation task in depth image, a novel anchor-based approach
termed Anchor-to-Joint regression network (A2J) with the end-to-end learning ability is …

In this paper, we strive to answer two questions: What is the current state of 3D hand pose
estimation from depth images? And, what are the next challenges that need to be tackled …

We present a method for the real-time estimation of the full 3D pose of one or more human
hands using a single commodity RGB camera. Recent work in the area has displayed …

The dynamic hand skeleton data have become increasingly attractive to widely studied for
the recognition of hand gestures that contain 3D coordinates of hand joints. Many …

Abstract Convolutional Neural Networks (CNNs)-based methods for 3D hand pose
estimation with depth cameras usually take 2D depth images as input and directly regress …