Results 11 to 20 of about 2,083,185 (262)
Deep Learning Pose Estimation for Phenotyping of Co-Occurring Hyperkinetic Movement Disorders. [PDF]
Ann Clin Transl NeurolABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Cif L +17 more
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Low-resolution human pose estimation
, 2022 Human pose estimation has achieved significant progress on images with high imaging resolution. However, low-resolution imagery data bring nontrivial challenges which are still under-studied. To fill this gap, we start with investigating existing methods
Ge, Shuzhi +3 more
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Research Progress of Two-Dimensional Human Pose Estimation Based on Deep Learning [PDF]
Jisuanji gongcheng, 2021 The two-dimensional Human Pose Estimation(HPE) methods based on deep learning have attracted much attention for their application potential.The methods work by constructing a specific neural network architecture,and processing the extracted feature ...
LIU Yong, LI Jie, ZHANG Jianlin, XU Zhiyong, WEI Yuxing
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Unstable Landing Platform Pose Estimation Based on Camera and Range Sensor Homogeneous Fusion (CRHF)
Drones, 2022 Much research has been accomplished in the area of drone landing and specifically pose estimation. While some of these works focus on sensor fusion using GPS, or GNSS, we propose a method that uses sensors, including four Time of Flight (ToF) range ...
Mohammad Sefidgar, Rene Landry
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Attention-Based Pose Sequence Machine for 3D Hand Pose Estimation
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
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Using GANs to Create Training Images for Object Pose Estimation [PDF]
, 2023 openObject pose estimation is a significant challenge in computer vision, involving determining the position and orientation of an object within an image. This task requires a large training dataset representing various poses of the object.
DEL BEN, ROBERTO
core
Robust Camera Pose Estimation from Line Correspondences Using GNC [PDF]
Modeling, Identification and ControlA solution to the Perspective-n-Lines (PnL) problem is proposed where a large fraction of outliers can be handled. The approach estimates camera pose from 2D-3D line correspondences where outliers are in the form of line mismatches. The solution is based
Hans K.R. Holen +2 more
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Computer Vision Using Pose Estimation
Wasit Journal of Computer and Mathematics Science, 2023 Pose estimation involves estimating the position and orientation of objects in a 3D space, and it has applications in areas such as robotics, augmented reality, and human-computer interaction.
Ghazali Bin Sulong, M . Randles
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Content based image pose manipulation [PDF]
, 2009 This thesis proposes the application of space-frequency transformations to the domain of pose estimation in images. This idea is explored using the Wavelet Transform with illustrative applications in pose estimation for face images, and images of planar ...
Begley, Seán
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CSI-Former: Pay More Attention to Pose Estimation with WiFi
Entropy, 2022 Cross-modal human pose estimation has a wide range of applications. Traditional image-based pose estimation will not work well in poor light or darkness.
Yue Zhou +5 more
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