Origin centric and part based pose decomposition for 3D human pose estimation [PDF]
Scientific ReportsTransformer-based approaches have recently made significant advancements in 3D human pose estimation from 2D inputs. Existing methods typically either consider the entire 2D skeleton for global features extraction or break it into independent parts for ...
Zhijie Lin +7 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
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 +2 more sources
A Survey on Depth Ambiguity of 3D Human Pose Estimation
Applied Sciences, 2022 Depth ambiguity is one of the main challenges of three-dimensional (3D) human pose estimation (HPE). The recent strategies of disambiguating have brought significant progress and remarkable breakthroughs in the field of 3D human pose estimation (3D HPE).
Siqi Zhang +3 more
doaj +2 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
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
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