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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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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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Single Shot Corrective CNN for Anatomically Correct 3D Hand Pose Estimation [PDF]
Frontiers in Artificial Intelligence, 2022 Hand pose estimation in 3D from depth images is a highly complex task. Current state-of-the-art 3D hand pose estimators focus only on the accuracy of the model as measured by how closely it matches the ground truth hand pose but overlook the resulting ...
Joseph H. R. Isaac +3 more
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Survey on depth and RGB image-based 3D hand shape and pose estimation
Virtual Reality & Intelligent Hardware, 2021 The field of vision-based human hand three-dimensional (3D) shape and pose estimation has attracted significant attention recently owing to its key role in various applications, such as natural humancomputer interactions.
Lin Huang +5 more
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MPCTrans: Multi-Perspective Cue-Aware Joint Relationship Representation for 3D Hand Pose Estimation via Swin Transformer [PDF]
SensorsThe objective of 3D hand pose estimation (HPE) based on depth images is to accurately locate and predict keypoints of the hand. However, this task remains challenging because of the variations in hand appearance from different viewpoints and severe ...
Xiangan Wan +9 more
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A wavelet attention fusion and YOLO based approach for robust multi scale hand pose estimation [PDF]
Scientific Reports3D Hand pose estimation in multi-view 3D datasets remains a fundamental challenge in computer vision due to the complexity of human skeletal articulation, partial occlusions, variations in hand appearance and differences in human physique.
Bhavana Sharma, Jeebananda Panda
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Hand gesture 3D pose estimation method based on swin transformer and CNN [PDF]
Scientific ReportsExisting gesture pose estimation methods commonly exhibit limitations such as singular feature extraction for hand characteristics and the neglect of long-range topological relationships between joints, thus restricting their prediction accuracy.
Rong Dang, Gang Feng
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The Hand Pose Estimation Model in Measuring Range of Motion
Philippine Journal of Orthopaedics, 2023 Objective. The COVID pandemic has challenged medical practitioners to perform clinical examinations remotely, including assessing the range of motion of the finger joints.
Josephine Mina +3 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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IEEE Access, 2021 Egocentric hand pose estimation is significant for wearable cameras since the hand interactions are captured from an egocentric viewpoint. Several studies on hand pose estimation have recently been presented based on RGBD or RGB sensors.
Kyeongeun Seo +3 more
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