Results 21 to 30 of about 13,712 (209)
WHSP-Net: A Weakly-Supervised Approach for 3D Hand Shape and Pose Recovery from a Single Depth Image
Sensors, 2019 Hand shape and pose recovery is essential for many computer vision applications such as animation of a personalized hand mesh in a virtual environment. Although there are many hand pose estimation methods, only a few deep learning based algorithms target
Jameel Malik +2 more
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Camera distance helps 3D hand pose estimated from a single RGB image
Graphical Models, 2023 Most existing methods for RGB hand pose estimation use root-relative 3D coordinates for supervision. However, such supervision neglects the distance between the camera and the object (i.e., the hand).
Yuan Cui +7 more
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A Soft Proposal Segmentation Network (SPS-Net) for Hand Segmentation on Depth Videos
IEEE Access, 2019 Hand segmentation is an important prerequisite for acquiring accurate 3D hand poses on depth images, as it can significantly reduce the complicity of hand pose estimation.
Fan Yang, Yang Wu
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IEEE Access, 2020 3D hand pose estimation from a single depth image plays an important role in computer vision and human-computer interaction. Although recent hand pose estimation methods using convolution neural network (CNN) have shown notable improvements in accuracy ...
Cheol-Hwan Yoo +4 more
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CFAM: Estimating 3D Hand Poses from a Single RGB Image with Attention
Applied Sciences, 2020 Precise 3D hand pose estimation can be used to improve the performance of human−computer interaction (HCI). Specifically, computer-vision-based hand pose estimation can make this process more natural.
Xianghan Wang +5 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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A Comprehensive Study on Deep Learning-Based 3D Hand Pose Estimation Methods
Applied Sciences, 2020 The field of 3D hand pose estimation has been gaining a lot of attention recently, due to its significance in several applications that require human-computer interaction (HCI).
Theocharis Chatzis +4 more
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Neural Hand Reconstruction Using A Single RGB Image
Virtual Reality & Intelligent Hardware, 2020 We present a neural hand reconstruction method for monocular 3D hand pose and shape estimation in this paper. Instead of directly representing hand with 3D data, a novel UV position map is introduced to represent hand pose and shape with 2D data, which ...
Mengcheng Li +5 more
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Light and Fast Hand Pose Estimation From Spatial-Decomposed Latent Heatmap
IEEE Access, 2020 We present a light and efficient approach named Latent Fusion network for fast and accurate hand pose estimation from a single depth image. Our method innovatively decomposes 3D joint regression into 2D plane localization and 1D axis estimation from ...
Shaowei Liu +3 more
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Molecular Oncology, EarlyView.A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel +12 more
wiley +1 more source