Results 21 to 30 of about 38,538 (207)

A Computational Approach to Hand Pose Recognition in Early Modern Paintings

Journal of Imaging, 2023
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, Eva Cetinić, Leonardo Impett   +2 more
doaj   +1 more source

Dual-Hand Motion Capture by Using Biological Inspiration for Bionic Bimanual Robot Teleoperation

Cyborg and Bionic Systems, 2023
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, Zhiwen Deng, Zhaojie Ju, Tianwei Zhang   +3 more
doaj   +1 more source

Hand Pose Estimation in the Task of Egocentric Actions

IEEE Access, 2021
In this article we tackle the problem of hand pose estimation when the hand is interacting with various objects from egocentric viewpoint. This entails a frequent occlusion of parts of the hand by the object and also self-occlusions of the hand. We use a
Marek Hruz, Jakub Kanis, Zdenek Krnoul
doaj   +1 more source

Vision-Based Pose Estimation for Robot-Mediated Hand Telerehabilitation

Sensors, 2016
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, Daniele Pianu, Marco Cempini, Mario Cortese, Ludovico O. Russo, Marco Indaco, Roberto Nerino, Antonio Chimienti, Calogero M. Oddo, Nicola Vitiello   +9 more
doaj   +1 more source

Graph-Based Hand-Object Meshes and Poses Reconstruction With Multi-Modal Input

IEEE Access, 2021
Estimating the hand-object meshes and poses is a challenging computer vision problem with many practical applications. In this paper, we introduce a simple yet efficient hand-object reconstruction algorithm. To this end, we exploit the fact that both the
Murad Almadani, Ahmed Elhayek, Jameel Malik, Didier Stricker   +3 more
doaj   +1 more source

Survey on depth and RGB image-based 3D hand shape and pose estimation

Virtual Reality & Intelligent Hardware, 2021
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 as natural humancomputer interactions.
Lin Huang, Boshen Zhang, Zhilin Guo, Yang Xiao, Zhiguo Cao, Junsong Yuan   +5 more
doaj   +1 more source

SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds

IEEE Access, 2018
3-D hand pose estimation is an essential problem for human-computer interaction. Most of the existing depth-based hand pose estimation methods consume 2-D depth map or 3-D volume via 2-D/3-D convolutional neural networks. In this paper, we propose a deep
Xinghao Chen, Guijin Wang, Cairong Zhang, Tae-Kyun Kim, Xiangyang Ji   +4 more
doaj   +1 more source

Action Recognition via Multi-View Perception Feature Tracking for Human–Robot Interaction

Robotics
Human–Robot Interaction (HRI) depends on robust perception systems that enable intuitive and seamless interaction between humans and robots. This work introduces a multi-view perception framework designed for HRI, incorporating object detection and ...
Chaitanya Bandi, Ulrike Thomas
doaj   +1 more source

MLE-Loss Driven Robust Hand Pose Estimation

IEEE Access
This paper introduces a novel method for accurately estimating the 2D coordinates of hand keypoints from single static images, utilizing a sequential convolutional neural network optimized with Maximum Likelihood Estimation Loss.
Xudong Lou, Xin Lin, Xiangxian Zhu, Chen Chen   +3 more
doaj   +1 more source

A Soft Proposal Segmentation Network (SPS-Net) for Hand Segmentation on Depth Videos

IEEE Access, 2019
Hand segmentation is an important prerequisite for acquiring accurate 3D hand poses on depth images, as it can significantly reduce the complicity of hand pose estimation.
Fan Yang, Yang Wu
doaj   +1 more source