Results 11 to 20 of about 211,957 (254)
Real-Time Energy Efficient Hand Pose Estimation: A Case Study [PDF]
Sensors, 2020 The estimation of human hand pose has become the basis for many vital applications where the user depends mainly on the hand pose as a system input. Virtual reality (VR) headset, shadow dexterous hand and in-air signature verification are a few examples ...
Mhd Rashed Al Koutayni +7 more
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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 +4 more
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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 +4 more
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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 +3 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 +3 more
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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
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Cascaded hand pose regression [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 We extends the previous 2D cascaded object pose regression work [9] in two aspects so that it works better for 3D articulated objects. Our first contribution is 3D pose-indexed features that generalize the previous 2D parameterized features and achieve better invariance to 3D transformations.
Xiao Sun 0001 +4 more
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3D Hand Pose Estimation via Graph-Based Reasoning
IEEE Access, 2021 Hand pose estimation from a single depth image has recently received significant attention owing to its importance in many applications requiring human-computer interaction.
Jae-Hun Song, Suk-Ju Kang
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A Hand Motor Skills Rehabilitation for the Injured Implemented on a Social Robot
Applied Sciences, 2021 In this work, we introduce HaReS, a hand rehabilitation system. Our proposal integrates a series of exercises, jointly developed with a foundation for those with motor and cognitive injuries, that are aimed at improving the skills of patients and the ...
Francisco Gomez-Donoso +3 more
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In-Hand Pose Estimation Using Hand-Mounted RGB Cameras and Visuotactile Sensors
IEEE Access, 2023 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
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