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An Adaptive Viewpoint Transformation Network for 3D Human Pose Estimation
IEEE Access, 2020 Human pose estimation from a monocular image has attracted lots of interest due to its huge potential application in many areas. The performance of 2D human pose estimation has been improved a lot with the emergence of deep convolutional neural network ...
Guoqiang Liang +3 more
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Estimating 3D hand pose from a cluttered image [PDF]
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003 A method is proposed that can generate a ranked list of plausible three-dimensional hand configurations that best match an input image. Hand pose estimation is formulated as an image database indexing problem, where the closest matches for an input hand image are retrieved from a large database of synthetic hand images.
Vassilis Athitsos, Stan Sclaroff
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Vietnam Journal of Computer Science, 2023 In this paper, we present an unified framework for understanding hand action from the first-person video. The proposed framework composes two main components. The first component estimates three-dimensional (3D) hand joints from RGB images.
Viet-Duc Le +6 more
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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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The 2017 Hands in the Million Challenge on 3D Hand Pose Estimation
CoRR, 2017 We present the 2017 Hands in the Million Challenge, a public competition designed for the evaluation of the task of 3D hand pose estimation. The goal of this challenge is to assess how far is the state of the art in terms of solving the problem of 3D hand pose estimation as well as detect major failure and strength modes of both systems and evaluation ...
Shanxin Yuan +3 more
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Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 Whole-body 3D human mesh estimation aims to reconstruct the 3D human body, hands, and face simultaneously. Although several methods have been proposed, accurate prediction of 3D hands, which consist of 3D wrist and fingers, still remains challenging due to two reasons.
Gyeongsik Moon +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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Efficient Camera-Based Pose Estimation for Real-Time Applications [PDF]
, 2009 Accurate online localization is crucial for mobile robotics. In this paper, we describe a real-time image-based localization technique, which is based on a single calibrated camera.
Elmar Mair +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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