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3D Hand Pose Estimation for Guqin Performance
2021 4th International Conference on Algorithms, Computing and Artificial Intelligence, 2021Lanlan Lyu, Yi Chen, Li Chen, H. P. Yuan
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GHand: A Graph Convolution Network for 3D Hand Pose Estimation
2020Vision-based 3D hand pose estimation plays an important role in the field of human-computer interaction. In recent years, with the development of convolutional neural networks (CNN), the field of 3D hand pose estimation has made a great progress, but there is still a long way to go before the problem is solved.
Pengsheng Wang +5 more
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Latent Regression Forest: Structured Estimation of 3D Hand Poses
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017In this paper we present the latent regression forest (LRF), a novel framework for real-time, 3D hand pose estimation from a single depth image. Prior discriminative methods often fall into two categories: holistic and patch-based. Holistic methods are efficient but less flexible due to their nearest neighbour nature. Patch-based methods can generalise
Danhang Tang +3 more
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Multi-view Appearance-based 3D Hand Pose Estimation
2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), 2006We describe a novel approach to appearance-based hand pose estimation which relies on multiple cameras to improve accuracy and resolve ambiguities caused by selfocclusions. Rather than estimating 3D geometry as most previous multi-view imaging systems, our approach uses multiple views to extend current exemplar-based methods that estimate hand pose by ...
Haiying Guan +4 more
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Depth image based 3D hand pose estimation framework
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012Real-time 3D motion capture for the human hand opens many avenues for HCI. This work describes our framework for fitting a 3D skeleton to the human hand using depth images. We represent a human hand by a 3D skeleton with 15 joints. Using this model, various synthetic depth images are generated.
Furkan Kiraç +3 more
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Monocular real-time 3D articulated hand pose estimation
2009 9th IEEE-RAS International Conference on Humanoid Robots, 2009Markerless, vision based estimation of human hand pose over time is a prerequisite for a number of robotics applications, such as Learning by Demonstration (LbD), health monitoring, teleoperation, human-robot interaction. It has special interest in humanoid platforms, where the number of degrees of freedom makes conventional programming challenging ...
Javier Romero 0002 +2 more
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Improvements in 3D Hand Pose Estimation Using Synthetic Data
2018The neural networks currently outperform earlier approaches to the hand pose estimation. However, to achieve the superior results a large amount of the appropriate training data is desperately needed. But the acquisition of the real hand pose data is a time and resources consuming process. One of the possible solutions uses the synthetic training data.
Jakub Kanis +2 more
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Cross-Domain 3D Hand Pose Estimation with Dual Modalities
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023Qiuxia Lin, Linlin Yang, Angela Yao
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TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation
Expert Systems With Applications, 2023Razieh Rastgoo +2 more
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