Results 81 to 90 of about 3,176,340 (283)

Multiple-Hand 2D Pose Estimation From a Monocular RGB Image

open access: yesIEEE Access
Deep learning models and algorithms facilitate relatively easier ways of hand pose estimation from monocular RGB images compared to traditional approaches.
Purnendu Mishra, Kishor Sarawadekar
doaj   +1 more source

Synthetic data (Part 2) for "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields"

open access: yes
Here we provide the data of our article "HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields". It contains the rendered images and the segmentation masks that we use to train our model on HO3Dv2 dataset.
Zhao, Chen   +3 more
core   +1 more source

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

open access: yesFEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia   +9 more
wiley   +1 more source

Pose Estimation for Augmented Reality: A Hands-On Survey [PDF]

open access: yesIEEE Transactions on Visualization and Computer Graphics, 2016
Augmented reality (AR) allows to seamlessly insert virtual objects in an image sequence. In order to accomplish this goal, it is important that synthetic elements are rendered and aligned in the scene in an accurate and visually acceptable way. The solution of this problem can be related to a pose estimation or, equivalently, a camera localization ...
Éric Marchand   +2 more
openaire   +3 more sources

Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells

open access: yesFEBS Open Bio, EarlyView.
Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Mark A. Hink
wiley   +1 more source

Articulated Hand Pose Estimation Review

open access: yesCoRR, 2016
With the increase number of companies focusing on commercializing Augmented Reality (AR), Virtual Reality (VR) and wearable devices, the need for a hand based input mechanism is becoming essential in order to make the experience natural, seamless and immersive.
openaire   +3 more sources

Hand Pose Understanding with Large-Scale Photo-Realistic Rendering Dataset

open access: yes, 2021
Hand pose understanding is essential to applications such as human computer interaction and augmented reality. Recently, deep learning based methods achieve great progress in this problem.
Wang, Hongan   +9 more
core   +1 more source

A nationwide student survey on biochemistry learning resources in Italy

open access: yesFEBS Open Bio, EarlyView.
We conducted a survey among Italian university students to investigate their preferred study materials for biochemistry. We then analyzed the collected data to identify these materials. This information may be valuable to the Biochemistry educational community. The graphical abstract was created with Claude (Opus 5.5; Anthropic, 2026).
Anna Marabotti   +4 more
wiley   +1 more source

3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal

open access: yes, 2022
Estimating 3D interacting hand pose from a single RGB image is essential for understanding human actions. Unlike most previous works that directly predict the 3D poses of two interacting hands simultaneously, we propose to decompose the challenging interacting hand pose estimation task and estimate the pose of each hand separately.
Hao Meng   +6 more
openaire   +3 more sources

Pose Retargeting from a Single RGB Camera: Optimization-Based Hand Pose Retargeting and Wrist Pose Estimation [PDF]

open access: yes
Robot teleoperation plays a crucial role in collecting data for large-scale imitation learning. Inferring operator’s hand pose is crucial for vision-based teleoperation, and current solutions either rely on additional neural network training or ...
Dogar, M., Chen, L., Yao, K.
core   +2 more sources

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