Results 21 to 30 of about 83,939 (265)
Allocentric Pose Estimation [PDF]
2013 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
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3D Human Pose Estimation = 2D Pose Estimation + Matching [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Demo code: https://github.com/flyawaychase ...
Ching-Hang Chen, Deva Ramanan
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Yoga Pose Rating using Pose Estimation and Cosine Similarity
Jurnal 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
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Automated Pose Estimation in Primates
American 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
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Recurrent Human Pose Estimation [PDF]
2017 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
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Pose ResNet: 3D Human Pose Estimation Based on Self-Supervision
Sensors, 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
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Research Progress of Deep Learning Methods in Two-dimensional Human Pose Estimation [PDF]
Jisuanji 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
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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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Ego-Body Pose Estimation via Ego-Head Pose Estimation
AI Matters, 2023 Estimating 3D human motion from an ego-centric video, which records the environment viewed from the first-person perspective with a front-facing monocular camera, is critical to applications in VR/AR. However, naively learning a mapping between egocentric videos and full-body human motions is challenging for two reasons.
Jiaman Li, C. Karen Liu, Jiajun Wu 0001
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