[PDF][PDF] A survey on 3D hand skeleton and pose estimation by convolutional neural network
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 …
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
In human-computer interaction, it is important to accurately estimate the hand pose,
especially fingertips. However, traditional approaches to fingertip localization mainly rely on …
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
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 …
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
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 …
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.
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 …
Interaction (HCI). Previous research on hand pose estimation are mainly based on depth …