Results 11 to 20 of about 556,231 (187)

Dynamical Pose Estimation [PDF]

open access: yes2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
We study the problem of aligning two sets of 3D geometric primitives given known correspondences. Our first contribution is to show that this primitive alignment framework unifies five perception problems including point cloud registration, primitive (mesh) registration, category-level 3D registration, absolution pose estimation (APE), and category ...
Yang, Heng   +2 more
openaire   +2 more sources

Certifiable relative pose estimation [PDF]

open access: yesImage and Vision Computing, 2021
In this paper we present the first fast optimality certifier for the non-minimal version of the Relative Pose problem for calibrated cameras from epipolar constraints. The proposed certifier is based on Lagrangian duality and relies on a novel closed-form expression for dual points.
Mercedes Garcia-Salguero   +2 more
openaire   +2 more sources

Allocentric Pose Estimation [PDF]

open access: yes2013 IEEE International Conference on Computer Vision, 2013
The task of object pose estimation has been a challenge since the early days of computer vision. To estimate the pose (or viewpoint) of an object, people have mostly looked at object intrinsic features, such as shape or appearance. Surprisingly, informative features provided by other, external elements in the scene, have so far mostly been ignored.
José Oramas M.   +2 more
openaire   +2 more sources

3D Human Pose Estimation = 2D Pose Estimation + Matching [PDF]

open access: yes2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Demo code: https://github.com/flyawaychase ...
Ching-Hang Chen, Deva Ramanan
openaire   +2 more sources

Yoga Pose Rating using Pose Estimation and Cosine Similarity

open access: yesJurnal Ilmu Komputer dan Informasi, 2023
One type of exercise that many people do today is yoga. However, doing yoga yourself without an instructor carries a risk of injury if not done correctly.
Ani Dwi Astuti   +2 more
doaj   +1 more source

Automated Pose Estimation in Primates

open access: yesAmerican Journal of Primatology, 2021
Understanding the behavior of primates is important for primatology, for psychology, and for biology more broadly. It is also important for biomedicine, where primates are an important model organism, and whose behavior is often an important variable of interest. Our ability to rigorously quantify behavior has, however, long been limited.
Benjamin Hayden   +2 more
openaire   +2 more sources

Pose ResNet: 3D Human Pose Estimation Based on Self-Supervision

open access: yesSensors, 2023
The accurate estimation of a 3D human pose is of great importance in many fields, such as human–computer interaction, motion recognition and automatic driving.
Wenxia Bao   +4 more
doaj   +1 more source

Research Progress of Deep Learning Methods in Two-dimensional Human Pose Estimation [PDF]

open access: yesJisuanji kexue, 2022
The task of human pose estimation is to locate and detect the key points of human body in images or videos.It has always been one of the hot research directions in the field of computer vision,and it is also a key step for computers to understand human ...
ZHANG Guo-ping, MA Nan, Guan Huai-guang, WU Zhi-xuan
doaj   +1 more source

Recurrent Human Pose Estimation [PDF]

open access: yes2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017
We propose a novel ConvNet model for predicting 2D human body poses in an image. The model regresses a heatmap representation for each body keypoint, and is able to learn and represent both the part appearances and the context of the part configuration.
Vasileios Belagiannis, Andrew Zisserman
openaire   +3 more sources

Research Progress of Two-Dimensional Human Pose Estimation Based on Deep Learning [PDF]

open access: yesJisuanji 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

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