Results 11 to 20 of about 3,176,340 (283)

Synthesizing Depth Hand Images with GANs and Style Transfer for Hand Pose Estimation [PDF]

Sensors, 2019
Hand pose estimation is a critical technology of computer vision and human-computer interaction. Deep-learning methods require a considerable amount of tagged data. Accordingly, numerous labeled training data are required.
Wangyong He, Zhongzhao Xie, Yongbo Li, Xinmei Wang, Wendi Cai   +4 more
doaj   +3 more sources

Estimation of 3D human hand poses with structured pose prior [PDF]

IET Computer Vision, 2019
Here, the authors present multistage estimation model embedding with structured pose prior (SPP), a novel coarse‐to‐fine framework for real‐time 3D hand estimation from single depth image. Authors’ main contributions can be summarised as follows: (i) The
Fangtai Guo, Zaixing He, Shuyou Zhang, Xinyue Zhao   +3 more
doaj   +3 more sources

3D hand pose estimation with neural networks [PDF]

, 2013
We propose the design of a real-time system to recognize and interprethand gestures. The acquisition devices are low cost 3D sensors. 3D hand pose will be segmented, characterized and track using growing neural gas (GNG) structure.The capacity of the ...
Serra, J.A., Garcia-Rodriguez, J., Garcia-Chamizo, J.M., Mentzelopoulos, M., Domínguez, E., Angelopoulou, A., Psarrou, A., Montoyo-Bojo, J., Orts Escolano, S.   +8 more
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Hand Pose Detection Using YOLOv8-pose [PDF]

2024 IEEE Conference on Engineering Informatics (ICEI)
Hand detection and pose estimation are prominent problems in computer vision. They have applications in augmented and virtual reality, human-robot interaction, and gesture recognition which can be incorporated into controlling various interfaces, such as
Holthaus, Patrick, Fang, Gu, Zou, Ju Jia, Kadam, Pushkar, Amirabdollahian, Farshid   +4 more
core   +4 more sources

Attention-Based Pose Sequence Machine for 3D Hand Pose Estimation [PDF]

IEEE Access, 2020
Most of the existing methods for 3D hand pose estimation are performed from a single depth map. In that case, the depth missing challenges from input frames caused by hand self-occlusions and imaging quality lead to multi-valued mapping phenomenon and ...
Fangtai Guo, Zaixing He, Shuyou Zhang, Xinyue Zhao, Jianrong Tan   +4 more
doaj   +2 more sources

Ring-a-Pose: A Ring for Continuous Hand Pose Tracking

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
We present Ring-a-Pose, a single untethered ring that tracks continuous 3D hand poses. Located in the center of the hand, the ring emits an inaudible acoustic signal that each hand pose reflects differently.
Lim, Hyunchul, Mahmud, Saif, Guimbretière, François, Zhang, Ruidong, Hu, Guilin, Nie, Shuyang, Yu, Tianhong Catherine, Zhang, Cheng, Li, Ke, Lee, Chi-Jung, Agarwal, Devansh, Oh, Jinseok   +11 more
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Hand pose estimation based on improved NSRM network

EURASIP Journal on Advances in Signal Processing, 2023
Hand pose estimation is the basis of dynamic gesture recognition. In vision-based hand pose estimation, the performance of hand pose estimation is affected due to the high flexibility of hand joints, local similarity and severe occlusion among hand ...
Shiqiang Yang, Duo He, Qi Li, Jinhua Wang, Dexin Li   +4 more
doaj   +2 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
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Multihead Self Attention Hand Pose Estimation [PDF]

E3S Web of Conferences, 2020
In This paper, we propose a hand pose estimation neural networks architecture named MSAHP which can improve PCK (percentage correct keypoints) greatly by fusing self-attention module in CNN (Convolutional Neural Networks).
Zhang Zhiqin, Zhang Bo, Li Fen, Kong Dehua   +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