Results 81 to 90 of about 3,176,340 (283)
Multiple-Hand 2D Pose Estimation From a Monocular RGB Image
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
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
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]
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
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
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
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
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
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]
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

