Results 31 to 40 of about 14,753 (332)

Filling holes in meshes using a mechanical model to simulate the curvature variation minimization [PDF]

open access: yes, 2006
The presence of holes in a triangle mesh is classically ascribed to the de ciencies of the point cloud acquired from a physical object to be reverse engineered.
PERNOT, Jean-Philippe   +2 more
core   +1 more source

Explicit Analysis of Sheet Metal Forming Processes Using Solid-Shell Elements

open access: yesMetals, 2021
To simulate sheet metal forming processes precisely, an in-house dynamic explicit code was developed to apply a new solid-shell element to sheet metal forming analyses, with a corotational coordinate system utilized to simplify the nonlinearity and to ...
Qiao-Min Li   +5 more
doaj   +1 more source

Seamless integration of analysis and design – Automatic CAD reconstruction of post-analysis geometries

open access: yes, 2023
A key step during industrial design is the passing of design information from computer aided design (CAD) to analysis tools (CAE) and vice versa. Here, one is faced with a severe incompatibility in geometry representation: While CAD is usually based on ...
Hube, Sebastian; orcid:   +2 more
core   +1 more source

Novel Low Cost 3D Surface Model Reconstruction System for Plant Phenotyping

open access: yesJournal of Imaging, 2017
Accurate high-resolution three-dimensional (3D) models are essential for a non-invasive analysis of phenotypic characteristics of plants. Previous limitations in 3D computer vision algorithms have led to a reliance on volumetric methods or expensive ...
Suxing Liu   +3 more
doaj   +1 more source

Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning [PDF]

open access: yesNature Biomedical Engineering, 2019
Tomographic imaging using penetrating waves generates cross-sectional views of the internal anatomy of a living subject. For artefact-free volumetric imaging, projection views from a large number of angular positions are required. Here we show that a deep-learning model trained to map projection radiographs of a patient to the corresponding 3D anatomy ...
Liyue Shen, Wei Zhao, Lei Xing
openaire   +2 more sources

In-silico clearing approach for deep refractive index tomography by partial reconstruction and wave-backpropagation

open access: yesLight: Science & Applications, 2023
Refractive index (RI) is considered to be a fundamental physical and biophysical parameter in biological imaging, as it governs light-matter interactions and light propagation while reflecting cellular properties.
Osamu Yasuhiko, Kozo Takeuchi
doaj   +1 more source

CutFEM forward modeling for EEG source analysis

open access: yesFrontiers in Human Neuroscience, 2023
IntroductionSource analysis of Electroencephalography (EEG) data requires the computation of the scalp potential induced by current sources in the brain.
Tim Erdbrügger   +20 more
doaj   +1 more source

High-frequency scattering tomography (HFST) [PDF]

open access: yesAPL Photonics
Optical microscopy has evolved from quantitative phase imaging to three-dimensional tomography, yet existing label-free techniques face critical limitations in computational complexity and contrast enhancement.
Ying Ma   +6 more
doaj   +1 more source

The Hill-Sachs Lesion: Volumetric modeling using Three-Dimensional Computed Tomography Reconstructions

open access: yesOrthopaedic Journal of Sports Medicine, 2014
Objectives: The purposes of our study were to identify the volume and relative location of Hill-Sachs lesions, measure the amount of glenoid bone loss in patients who have existing Hill-Sachs lesions, and finally draw any correlations that exist between increased glenoid bone loss and increased Hill-Sachs volume.
Bernhardson, Andrew, Provencher, Matthew
openaire   +1 more source

Three-Dimensional Single Random Phase Encryption

open access: yesSensors
In this paper, we propose a new optical encryption technique that uses the single random phase mask. In conventional optical encryptions such as double random phase encryption (DRPE), two different random phase masks are required to encrypt the primary ...
Byungwoo Cho, Myungjin Cho
doaj   +1 more source

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