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Pose estimation for planar structures

IEEE Computer Graphics and Applications, 2002
We address the registration problem for interactive AR applications. Such applications require a real-time registration process. Although the registration problem has received a lot of attention in the computer vision community, it's far from being solved. Ideally, an AR system should work in all environments without the need to prepare the scene ahead
Simon, Gilles, Berger, Marie-Odile
openaire   +1 more source

Ski Pose Estimation

2024 IEEE International Workshop on Sport, Technology and Research (STAR)
Human Pose Estimation (HPE) aims at retrieving the position of human joints from images or videos. In many winter sports, the human pose captures only part of the action, as practitioners use skis and poles for propulsion and balance on the snow. In this work we propose a novel architecture that estimates the position of skis and poles as an integral ...
Martinelli G.   +3 more
openaire   +1 more source

Improved YOLO-Pose Crowd Pose Estimation

2023 6th International Conference on Signal Processing and Machine Learning (SPML), 2023
Wei Chen   +5 more
openaire   +1 more source

HUMAN POSE ESTIMATION

International Scientific Journal of Engineering and Management
In "Human Pose Estimation" with integrated feedback mechanisms to assess and guide users in achieving correct poses. Utilizing advanced deep learning techniques in computer vision, the system swiftly detects key points on the human body and provides instant feedback on pose accuracy.
openaire   +1 more source

Pose Estimation

2022
Akshay Kulkarni   +2 more
openaire   +1 more source

Human Pose Estimation

2015
The aim of human pose estimation is to detect and estimate the configuration of the articulation structure of a person. Human pose estimation has become a popular research topic including a wide range of approaches. Marker-based approaches, for example, are one of the most precise methods, but they need special markers attached to the human body.
openaire   +1 more source

SLEAP: A deep learning system for multi-animal pose tracking

Nature Methods, 2022
Talmo D Pereira   +2 more
exaly  

Tackling the emerging threat of antifungal resistance to human health

Nature Reviews Microbiology, 2022
Matthew C Fisher   +2 more
exaly  

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