pix2xray: converting RGB images into X-rays using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-020-02159-2
Abstract: Purpose We propose a novel methodology for generating synthetic X-rays from 2D RGB images. This method creates accurate simulations for use in non-diagnostic visualization problems where the only input comes from a generic camera. Traditional… read more here.
Keywords: generative adversarial; adversarial networks; hand pose; pix2xray converting ... See more keywords
A CRNN module for hand pose estimation
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.065
Abstract: Abstract Hand pose estimation plays an important role in human–computer interaction. The traditional way is to deal with a video stream frame by frame. However, since the gesture in the video is changing continuously, the… read more here.
Keywords: network; module; pose estimation; hand ... See more keywords
Implicit Semantic Data Augmentation for Hand Pose Estimation
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DOI: 10.1109/access.2022.3197749
Abstract: Data augmentation is a well-known technique used for improving the generalization performance of modern neural networks. After the success of several traditional random data augmentation for images (including flipping, translation, or rotation), a recent surge… read more here.
Keywords: pose estimation; hand; data augmentation; augmentation ... See more keywords
Mask-Pose Cascaded CNN for 2D Hand Pose Estimation From Single Color Image
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2018.2879980
Abstract: We present a cascaded convolutional neural network for 2D hand pose estimation from single in-the-wild RGB images. Inspired by the commonly used silhouette information in the generative pose estimation approaches, we build the cascaded network… read more here.
Keywords: mask; hand pose; hand; pose estimation ... See more keywords
3D Hand Pose Estimation From Monocular RGB With Feature Interaction Module
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3142787
Abstract: 3D hand pose estimation from a monocular RGB image is a highly challenging task due to self-occlusion, diverse appearances, and inherent depth ambiguities within monocular images. Most of the previous methods first employ deep neural… read more here.
Keywords: hand; monocular rgb; skeleton; estimation ... See more keywords
Multibranch Adversarial Regression for Domain Adaptative Hand Pose Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3158676
Abstract: Although hand pose estimation has achieved a great success in recent years, there are still challenges with RGB-based estimation tasks, the most significant of which is the absence of labeled training data. At present, the… read more here.
Keywords: regression; pose estimation; domain; estimation ... See more keywords
A Dual-Branch Self-Boosting Framework for Self-Supervised 3D Hand Pose Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3192708
Abstract: Although 3D hand pose estimation has made significant progress in recent years with the development of the deep neural network, most learning-based methods require a large amount of labeled data that is time-consuming to collect.… read more here.
Keywords: pose estimation; hand; self supervised; estimation ... See more keywords
Differentiable Spatial Regression: A Novel Method for 3D Hand Pose Estimation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3047552
Abstract: 3D Hand pose estimation from a single depth image is an essential topic in computer vision and human-computer interaction. Although the rising of deep learning boosts the accuracy a lot, the problem is still hard… read more here.
Keywords: differentiable spatial; method; hand; pose estimation ... See more keywords
Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.2964037
Abstract: In human–computer interaction, it is important to accurately estimate the hand pose, especially fingertips. However, traditional approaches to fingertip localization mainly rely on depth images and thus suffer considerably from noise and missing values. Instead… read more here.
Keywords: hand pose; fingertip localization; hand; stereo images ... See more keywords
Real-Time 3D Hand Pose Estimation with 3D Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2827052
Abstract: In this paper, we present a novel method for real-time 3D hand pose estimation from single depth images using 3D Convolutional Neural Networks (CNNs). Image-based features extracted by 2D CNNs are not directly suitable for… read more here.
Keywords: hand pose; real time; hand; pose estimation ... See more keywords
Hand Pose Selection in a Bimanual Fine-Manipulation Task.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of neurophysiology"
DOI: 10.1152/jn.00635.2020
Abstract: Many daily tasks involve the collaboration of both hands. Humans dexterously adjust hand poses and modulate the forces exerted by fingers in response to task demands. Hand pose selection has been intensively studied in unimanual… read more here.
Keywords: hand poses; task; pose selection; hand ... See more keywords