Results 51 to 60 of about 130,491 (270)

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

open access: yesApplied 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

It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data [PDF]

open access: yes, 2018
We address the problem of 3D human pose estimation from 2D input images using only weakly supervised training data. Despite showing considerable success for 2D pose estimation, the application of supervised machine learning to 3D pose estimation in real ...
Eng, Robert   +3 more
core   +1 more source

Cascaded 3D Full-body Pose Regression from Single Depth Image at 100 FPS

open access: yes, 2018
There are increasing real-time live applications in virtual reality, where it plays an important role in capturing and retargetting 3D human pose. But it is still challenging to estimate accurate 3D pose from consumer imaging devices such as depth camera.
Su, Le, Xia, Shihong, Zhang, Zihao
core   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

open access: yesMolecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla   +10 more
wiley   +1 more source

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

open access: yesLeida 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   +5 more
doaj   +1 more source

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

open access: yes, 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.   +3 more
core   +3 more sources

3D Human Pose Estimation Based on Transformer

open access: yesJournal 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

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

open access: yesMolecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung   +17 more
wiley   +1 more source

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

open access: yesSensors, 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   +3 more
doaj   +1 more source

Forecasting Human Dynamics from Static Images

open access: yes, 2017
This paper presents the first study on forecasting human dynamics from static images. The problem is to input a single RGB image and generate a sequence of upcoming human body poses in 3D.
Chao, Yu-Wei   +4 more
core   +1 more source

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