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A Computational Approach to Hand Pose Recognition in Early Modern Paintings [PDF]
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 +2 more
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SDFPoseGraphNet: Spatial Deep Feature Pose Graph Network for 2D Hand Pose Estimation [PDF]
Sensors, 2023 In the field of computer vision, hand pose estimation (HPE) has attracted significant attention from researchers, especially in the fields of human–computer interaction (HCI) and virtual reality (VR).
Sartaj Ahmed Salman +2 more
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InterNet+: A Light Network for Hand Pose Estimation [PDF]
Sensors, 2021 Hand pose estimation from RGB images has always been a difficult task, owing to the incompleteness of the depth information. Moon et al. improved the accuracy of hand pose estimation by using a new network, InterNet, through their unique design.
Yang Liu +3 more
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Hand Pose Recognition Using Parallel Multi Stream CNN [PDF]
Sensors, 2021 Recently, several computer applications provided operating mode through pointing fingers, waving hands, and with body movement instead of a mouse, keyboard, audio, or touch input such as sign language recognition, robot control, games, appliances control,
Iram Noreen +4 more
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Coordinate-Corrected and Graph-Convolution-Based Hand Pose Estimation Method [PDF]
SensorsTo address the problem of low accuracy in joint point estimation in hand pose estimation methods due to the self-similarity of fingers and easy self-obscuration of hand joints, a hand pose estimation method based on coordinate correction and graph ...
Dang Rong, Feng Gang
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SARN: Shifted Attention Regression Network for 3D Hand Pose Estimation [PDF]
Bioengineering, 2023 Hand pose estimation (HPE) plays an important role during the functional assessment of the hand and in potential rehabilitation. It is a challenge to predict the pose of the hand conveniently and accurately during functional tasks, and this limits the ...
Chenfei Zhu +4 more
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PA-Tran: Learning to Estimate 3D Hand Pose with Partial Annotation [PDF]
Sensors, 2023 This paper tackles a novel and challenging problem—3D hand pose estimation (HPE) from a single RGB image using partial annotation. Most HPE methods ignore the fact that the keypoints could be partially visible (e.g., under occlusions).
Tianze Yu +3 more
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3D Hand Pose Estimation Based on Five-Layer Ensemble CNN [PDF]
Sensors, 2021 Estimating accurate 3D hand pose from a single RGB image is a highly challenging problem in pose estimation due to self-geometric ambiguities, self-occlusions, and the absence of depth information. To this end, a novel Five-Layer Ensemble CNN (5LENet) is
Lili Fan, Hong Rao, Wenji Yang
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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 +4 more
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CrossFuNet: RGB and Depth Cross-Fusion Network for Hand Pose Estimation [PDF]
Sensors, 2021 Despite recent successes in hand pose estimation from RGB images or depth maps, inherent challenges remain. RGB-based methods suffer from heavy self-occlusions and depth ambiguity. Depth sensors rely heavily on distance and can only be used indoors, thus
Xiaojing Sun +5 more
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