G2O-Pose: Real-Time Monocular 3D Human Pose Estimation Based on General Graph Optimization [PDF]
Sensors, 2022 Monocular 3D human pose estimation is used to calculate a 3D human pose from monocular images or videos. It still faces some challenges due to the lack of depth information.
Haixun Sun +4 more
doaj +2 more sources
A Survey of the State of the Art in Monocular 3D Human Pose Estimation: Methods, Benchmarks, and Challenges [PDF]
SensorsThree-dimensional human pose estimation (3D HPE) from monocular RGB cameras is a fundamental yet challenging task in computer vision, forming the basis of a wide range of applications such as action recognition, metaverse, self-driving, and healthcare ...
Yan Guo +5 more
doaj +2 more sources
Posing 3D Models from Drawing [PDF]
, 2015 Inferring the 3D pose of a character from a drawing is a complex and under-constrained problem. Solving it may help automate various parts of an animation production pipeline such as pre-visualisation.
Xiao, Zhidong +3 more
core +9 more sources
Dense Depth Interpolation for 3D Human Pose Estimation [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2021 The 3D human pose estimation is a challenging task in computer vision. Due to the difficulty of annotation, only some disperse key-point data form limited scenes are available, which makes 3D prediction a big challenge.
Chen Mengting, Wang Xinggang, Liu Wenyu
doaj +1 more source
Dual‐view 3D human pose estimation without camera parameters for action recognition
IET Image Processing, 2021 The purpose of 3D human pose estimation is to estimate the 3D coordinates of key points of the human body directly from images. Although multi‐view based methods have better performance and higher precision of coordinate estimation than a single‐view ...
Long Liu, Le Yang, Wanjun Chen, Xin Gao
doaj +1 more source
Reconstructing 3D human pose and shape from a single image and sparse IMUs [PDF]
PeerJ Computer Science, 2023 Background Model-based 3D pose estimation has been widely used in many 3D human motion analysis applications, in which vision-based and inertial-based are two distinct lines. Multi-view images in a vision-based markerless capture system provide essential
Xianhua Liao +5 more
doaj +2 more sources
An Adaptive Viewpoint Transformation Network for 3D Human Pose Estimation
IEEE Access, 2020 Human pose estimation from a monocular image has attracted lots of interest due to its huge potential application in many areas. The performance of 2D human pose estimation has been improved a lot with the emergence of deep convolutional neural network ...
Guoqiang Liang +3 more
doaj +1 more source
A Study on 3D Human Pose Estimation Using Through-Wall IR-UWB Radar and Transformer
IEEE Access, 2023 In this paper, we propose a human pose estimation algorithm for an impulse radio ultra-wideband (IR-UWB) radar based on the transformer-based deep learning model.
Gon Woo Kim +3 more
doaj +1 more source
Towards Single 2D Image-Level Self-Supervision for 3D Human Pose and Shape Estimation
Applied Sciences, 2021 Three-dimensional human pose and shape estimation is an important problem in the computer vision community, with numerous applications such as augmented reality, virtual reality, human computer interaction, and so on.
Junuk Cha +7 more
doaj +1 more source
3D Human Pose Estimation With Spatial Structure Information
IEEE Access, 2021 Estimating 3D human poses from 2D poses is a challenging problem due to joints self-occlusion, weak generalization, and inherent ambiguity of recovering depth. Actually, there exists spatial structure dependence on human body key points which can be used
Xiaoshan Huang, Jun Huang, Zengming Tang
doaj +1 more source