Results 21 to 30 of about 550,284 (290)

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
doaj   +1 more source

Low-resolution human pose estimation [PDF]

Pattern Recognition, 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 and reveal that the most dominant heatmap-based methods would suffer more severe model performance ...
Chen Wang, Feng Zhang, Xiatian Zhu, Shuzhi Sam Ge   +3 more
openaire   +2 more sources

Robust Estimation of 3D Human Poses from a Single Image [PDF]

, 2014
Human pose estimation is a key step to action recognition. We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose/joint detector.
Gao, Wen, Lin, Zhouchen, Wang, Chunyu, Wang, Yizhou, Yuille, Alan L.   +4 more
core   +4 more sources

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, Zaixing He, Shuyou Zhang, Xinyue Zhao, Jianrong Tan   +4 more
doaj   +1 more source

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
doaj   +1 more source

Pose for Everything: Towards Category-Agnostic Pose Estimation

, 2022
ECCV 2022 ...
Lumin Xu, Sheng Jin, Wang Zeng, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang   +7 more
openaire   +2 more sources

Robust Camera Pose Estimation from Line Correspondences Using GNC [PDF]

Modeling, Identification and Control
A 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, Torbjørn Smith, Olav Egeland   +2 more
doaj   +1 more source

DeepPose: Human Pose Estimation via Deep Neural Networks [PDF]

, 2014
We propose a method for human pose estimation based on Deep Neural Networks (DNNs). The pose estimation is formulated as a DNN-based regression problem towards body joints.
Szegedy, Christian, Toshev, Alexander
core   +3 more sources

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, Caojie Xu, Lu Zhao, Aichun Zhu, Fangqiang Hu, Yifeng Li   +5 more
doaj   +1 more source

Accurate and linear time pose estimation from points and lines [PDF]

, 2016
The final publication is available at link.springer.comThe Perspective-n-Point (PnP) problem seeks to estimate the pose of a calibrated camera from n 3Dto-2D point correspondences.
A Ansar, A Penate-Sanchez, CP Lu, D DeMenthon, DG Lowe, E Rosten, H Bay, L Kneip, L Quan, L Zhang, M Dhome, MA Fischler, N Silberman, PD Fiore, R Hartley, S Li, V Lepetit, XS Gao   +17 more
core   +1 more source