Results 51 to 60 of about 129,382 (270)

3D Human Pose Estimation Using Möbius Graph Convolutional Networks

, 2022
3D human pose estimation is fundamental to understanding human behavior. Recently, promising results have been achieved by graph convolutional networks (GCNs), which achieve state-of-the-art performance and provide rather light-weight architectures. However, a major limitation of GCNs is their inability to encode all the transformations between joints ...
Azizi N., Possegger H., Rodola E., Bischof H.   +3 more
openaire   +2 more sources

Depth Segmentation Approach for Egocentric 3D Human Pose Estimation with a Fisheye Camera

Applied Sciences
In this paper, we propose a novel approach for egocentric 3D human pose estimation using fisheye images captured by a head-mounted display (HMD). Most studies on 3D pose estimation focused on heatmap regression and lifting 2D information to 3D space ...
Hyeonghwan Shin, Seungwon Kim
doaj   +1 more source

Regress 3D human pose from 2D skeleton with kinematics knowledge

Electronic Research Archive, 2023
3D human pose estimation is a hot topic in the field of computer vision. It provides data support for tasks such as pose recognition, human tracking and action recognition.
Longkui Jiang , Yuru Wang, Weijia Li
doaj   +1 more source

Robust recognition and segmentation of human actions using HMMs with missing observations [PDF]

, 2005
This paper describes the integration of missing observation data with hidden Markov models to create a framework that is able to segment and classify individual actions from a stream of human motion using an incomplete 3D human pose estimation.
Bui, Hung H., Peursum, Patrick, Venkatesh, Svetha, West, Geoff   +3 more
core   +3 more sources

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Single-channel Ultra-wideband Radar Human Pose-incremental Estimation Technology

Leida xuebao
This study focuses on integrating optical and radar sensors for human pose estimation. Based on the physical correspondence between the continuous-time micromotion accumulation and pose increment, a single-channel ultra-wideband radar human pose ...
Kemeng LI, Yongpeng DAI, Yongping SONG, Xiaolong ZHOU, Yongkun SONG, Tian JIN   +5 more
doaj   +1 more source

Resolving Position Ambiguity of IMU-Based Human Pose with a Single RGB Camera

Sensors, 2020
Human motion capture (MoCap) plays a key role in healthcare and human–robot collaboration. Some researchers have combined orientation measurements from inertial measurement units (IMUs) and positional inference from cameras to reconstruct the 3D human ...
Tomoya Kaichi, Tsubasa Maruyama, Mitsunori Tada, Hideo Saito   +3 more
doaj   +1 more source

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

, 2018
Most of the existing deep learning-based methods for 3D hand and human pose estimation from a single depth map are based on a common framework that takes a 2D depth map and directly regresses the 3D coordinates of keypoints, such as hand or human body ...
Chang, Ju Yong, Lee, Kyoung Mu, Moon, Gyeongsik   +2 more
core   +1 more source

3D Human Pose Estimation Based on Transformer

Journal of Physics: Conference Series, 2023
Abstract Currently, 3D human pose estimation has gradually been a well-liked subject. Although various models based on the deep neural network have produced an excellent performance, they still suffer from the ignorance of multiple feasible pose solutions and the problem of the relatively-fixed input length.
He Yin, Chang Lv, Yeqin Shao
openaire   +1 more source

Glycosylated LGALS3BP is highly secreted by bladder cancer cells and represents a novel urinary disease biomarker

Molecular Oncology, EarlyView.
Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece, Giulio Lovato, Ilaria Cela, Arianna Mercatelli, Benedetta Ferro, Jussi Nikkola, Sara Pagotto, Tommaso Grottola, Vincenzo De Laurenzi, Rossella Cicchetti, Antonio Marchetti, Luigi Schips, Rossano Lattanzio, Stefano Iacobelli, Emily Capone, Peter Black, Mads Daugaard, Michele Marchioni, Gianluca Sala   +18 more
wiley   +1 more source