Results 1 to 10 of about 4,537,022 (282)
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
doaj +5 more sources
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
doaj +3 more sources
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 +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 +3 more
doaj +3 more sources
Hand PointNet: 3D Hand Pose Estimation Using Point Sets [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Convolutional Neural Network (CNN) has shown promising results for 3D hand pose estimation in depth images. Different from existing CNN-based hand pose estimation methods that take either 2D images or 3D volumes as the input, our proposed Hand PointNet directly processes the 3D point cloud that models the visible surface of the hand for pose regression.
Junwu Weng, Yujun Cai, Junsong Yuan
exaly +6 more sources
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
doaj +2 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 +4 more
doaj +2 more sources
Hand Pose Estimation in the Task of Egocentric Actions [PDF]
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 +6 more sources
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
doaj +3 more sources
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
doaj +1 more source