Results 21 to 30 of about 10,580,611 (236)
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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3D driver pose estimation based on joint 2D–3D network
IET Computer Vision, 2020 Three‐dimensional (3D) driver pose estimation is a promising and challenging problem for computer–human interaction. Recently convolutional neural networks have been introduced into 3D pose estimation, but these methods have the problem of slow running ...
Zhijie Yao +5 more
doaj +1 more source
Sensors, 2021 Human pose estimation and tracking in real-time from multi-sensor systems is essential for many applications. Combining multiple heterogeneous sensors increases opportunities to improve human motion tracking.
Ashok Kumar Patil +4 more
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A survey on monocular 3D human pose estimation
Virtual Reality & Intelligent Hardware, 2020 Recovering human pose from RGB images and videos has drawn increasing attention in recent years owing to minimum sensor requirements and applicability in diverse fields such as human-computer interaction, robotics, video analytics, and augmented reality.
Xiaopeng Ji +5 more
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3D Human Pose Estimation With Generative Adversarial Networks
IEEE Access, 2020 3D human pose estimation from a monocular RGB image is a challenging task in computer vision because of depth ambiguity in a single RGB image. As most methods consider joint locations independently which can lead to an overfitting problem on specific ...
Hailun Xia, Meng Xiao
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IEEE Access, 2023 In general, 3D human-pose estimation requires high-performance computing resources. Existing methods working on mobile devices trade off accuracy in return for increased efficiency, often making the estimation accuracy far from sufficient for developing ...
Hong Son Nguyen +4 more
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IEEE Access, 2022 The shape and pose estimation of a human body are essential for human behavior analysis, sports and medical analysis, and virtual reality. Although 2D image data are much easier to acquire than 3D scan data, the estimation accuracy using 2D images is ...
Dongjun Gu +3 more
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Deep 3D human pose estimation: A review [PDF]
, 2021 Three-dimensional (3D) human pose estimation involves estimating the articulated 3D joint locations of a human body from an image or video. Due to its widespread applications in a great variety of areas, such as human motion analysis, human–computer ...
Xu, S. +6 more
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Applied Sciences, 2023 Human pose estimation refers to accurately estimating the position of the human body from a single RGB image and detecting the location of the body. It serves as the basis for several computer vision tasks, such as human tracking, 3D reconstruction, and ...
Chengpeng Duan +3 more
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lxxhhh-26/Reconstructing-3D-human-pose-and-shape: V1.0.1
, 2023 Reconstructing 3D human pose and shape from a single image and sparse ...
lxxhhh-26
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