Results 21 to 30 of about 4,537,022 (282)
Implicit Semantic Data Augmentation for Hand Pose Estimation
Data augmentation is a well-known technique used for improving the generalization performance of modern neural networks. After the success of several traditional random data augmentation for images (including flipping, translation, or rotation), a recent
Kyeongeun Seo +3 more
doaj +1 more source
Stable Hand Pose Estimation under Tremor via Graph Neural Network [PDF]
Hand pose estimation, which predicts the spatial location of hand joints, is a fundamental task in VR/AR applications. Although existing methods can recover hand pose competently, the tremor issue occurring in hand motion has not been completely solved ...
Jiaying Chen +9 more
core +1 more source
The Hand Pose Estimation Model in Measuring Range of Motion
Objective. The COVID pandemic has challenged medical practitioners to perform clinical examinations remotely, including assessing the range of motion of the finger joints.
Josephine Mina +3 more
doaj +1 more source
Egocentric hand pose estimation is significant for wearable cameras since the hand interactions are captured from an egocentric viewpoint. Several studies on hand pose estimation have recently been presented based on RGBD or RGB sensors.
Kyeongeun Seo +3 more
doaj +1 more source
Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image
Hand gesture recognition and hand pose estimation are two closely correlated tasks. In this paper, we propose a deep-learning based approach which jointly learns an intermediate level shared feature for these two tasks, so that the hand gesture ...
Chi Xu, Yunkai Jiang, Jun Zhou, Yi Liu
doaj +1 more source
In-Hand Pose Estimation Using Hand-Mounted RGB Cameras and Visuotactile Sensors
This paper proposes a method to estimate the 6D pose of an object grasped by a robot hand using RGB cameras mounted on the palm and visuotactile sensors installed at the fingertips.
Yuan Gao +5 more
doaj +1 more source
A Computational Approach to Hand Pose Recognition in Early Modern Paintings
Hands represent an important aspect of pictorial narration but have rarely been addressed as an object of study in art history and digital humanities.
Valentine Bernasconi +2 more
doaj +1 more source
Dual-Hand Motion Capture by Using Biological Inspiration for Bionic Bimanual Robot Teleoperation
Bionic bimanual robot teleoperation can transfer the grasping and manipulation skills of human dual hands to the bionic bimanual robots to realize natural and flexible manipulation.
Qing Gao +3 more
doaj +1 more source
3D Hand Shape and Pose Estimation [PDF]
We study the problem of 3D hand shape and pose estimation from monocular RGB images. Recent studies have shown that single-view 3D hand pose estimation is challenging due to depth ambiguity, environmental conditions, object-occlusion, and self-occlusion.
Kaviani, Samira
core +1 more source
Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation
Vision-based Pose Estimation (VPE) represents a non-invasive solution to allow a smooth and natural interaction between a human user and a robotic system, without requiring complex calibration procedures.
Giuseppe Airò Farulla +9 more
doaj +1 more source

