Results 31 to 40 of about 130,491 (270)
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations [PDF]
, 2019 Convolutional Neural Network based approaches for monocular 3D human pose estimation usually require a large amount of training images with 3D pose annotations.
Habibie, I. +4 more
core +4 more sources
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image [PDF]
, 2017 We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks.
Agapito, Lourdes +2 more
core +2 more sources
3D human pose estimation with siamese equivariant embedding [PDF]
Neurocomputing, 2019 Accepted to ...
Márton Véges +2 more
openaire +2 more sources
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
doaj +1 more source
Distributed Human 3D Pose Estimation and Action Recognition [PDF]
2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2019 In this paper, we propose a distributed solution for3D human pose estimation using a RGBD camera network. Thekey feature of our method is a dynamic hybrid consensus filter(DHCF) is introduced to fuse the multiple view informationof cameras. In contrast to the centralized fusion solution,the DHCF algorithm can be used in a distributed network,which ...
Liu, Guoliang +3 more
openaire +1 more source
Posegu: 3d Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning
SSRN Electronic Journal, 2022 3D pose estimation has recently gained substantial interests in computer vision domain. Existing 3D pose estimation methods have a strong reliance on large size well-annotated 3D pose datasets, and they suffer poor model generalization on unseen poses due to limited diversity of 3D poses in training sets.
Guan, Shannan +3 more
openaire +2 more sources
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
doaj +1 more source
3D Human Pose Estimation With 2D Marginal Heatmaps [PDF]
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 Accepted in WACV ...
Nibali, Aiden +3 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source