Results 31 to 40 of about 4,537,022 (282)

A Robust Hand Pose Estimation Algorithm for Hand Rehabilitation [PDF]

, 2013
During a rehabilitation session, patient activity should be continuously monitored in order to correct wrong movements and to follow patient improvements. Therefore, the application of human motion tracking techniques to rehabilitation is finding more and more consensus.
Francesca Cordella, Francesco Di Corato, Loredana Zollo, Bruno Siciliano   +3 more
openaire   +3 more sources

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

Pose Estimation for Augmented Reality: A Hands-On Survey [PDF]

IEEE Transactions on Visualization and Computer Graphics, 2016
Augmented reality (AR) allows to seamlessly insert virtual objects in an image sequence. In order to accomplish this goal, it is important that synthetic elements are rendered and aligned in the scene in an accurate and visually acceptable way. The solution of this problem can be related to a pose estimation or, equivalently, a camera localization ...
Éric Marchand, Hideaki Uchiyama, Fabien Spindler   +2 more
openaire   +3 more sources

Hands Deep in Deep Learning for Hand Pose Estimation

CoRR, 2015
We introduce and evaluate several architectures for Convolutional Neural Networks to predict the 3D joint locations of a hand given a depth map. We first show that a prior on the 3D pose can be easily introduced and significantly improves the accuracy and reliability of the predictions.
Markus Oberweger, Paul Wohlhart, Vincent Lepetit   +2 more
openaire   +3 more sources

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

Model-based Deep Hand Pose Estimation

CoRR, 2016
Previous learning based hand pose estimation methods does not fully exploit the prior information in hand model geometry. Instead, they usually rely a separate model fitting step to generate valid hand poses. Such a post processing is inconvenient and sub-optimal.
Xingyi Zhou, Qingfu Wan, Wei Zhang 0016, Xiangyang Xue 0001, Yichen Wei   +4 more
openaire   +3 more sources

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

Low-resolution human pose estimation

, 2022
Human pose estimation has achieved significant progress on images with high imaging resolution. However, low-resolution imagery data bring nontrivial challenges which are still under-studied. To fill this gap, we start with investigating existing methods
Ge, Shuzhi, Zhang, Feng, ZHU, XIATIAN, Wang, Chen, Shuzhi Sam Ge, Feng Zhang, Chen Wang, Xiatian Zhu   +7 more
core   +1 more source

Efficient Virtual View Selection for 3D Hand Pose Estimation

, 2022
3D hand pose estimation from single depth is a fundamental problem in computer vision, and has wide applications. However, the existing methods still can not achieve satisfactory hand pose estimation results due to view variation and occlusion of human ...
Wang, Hongan, Zuo, Dexin, Tan, Ping, Cheng, Jian, Ma, Cuixia, Gu, Jian, Wan, Yanguang, Zhang, Yinda, Deng, Xiaoming, Cuixia Ma, Jian Gu, Jian Cheng, Dexin Zuo, Ping Tan, Yinda Zhang, Yanguang Wan, Hongan Wang, Xiaoming Deng   +17 more
core   +2 more sources

Hand Pose Estimation: A Survey

CoRR, 2019
The success of Deep Convolutional Neural Networks (CNNs) in recent years in almost all the Computer Vision tasks on one hand, and the popularity of low-cost consumer depth cameras on the other, has made Hand Pose Estimation a hot topic in computer vision field. In this report, we will first explain the hand pose estimation problem and will review major
openaire   +3 more sources