Results 41 to 50 of about 18,772 (276)

An Efficient Visualization Method for Polygonal Data with Dynamic Simplification

open access: yesISPRS International Journal of Geo-Information, 2018
Polygonal data often require rendering with symbolization and simplification in geovisualization. A common issue in existing methods is that simplification, symbolization and rendering are addressed separately, causing computational and data redundancies
Mingguang Wu   +7 more
doaj   +1 more source

A computational method for sharp interface advection [PDF]

open access: yesRoyal Society Open Science, 2016
We devise a numerical method for passive advection of a surface, such as the interface between two incompressible fluids, across a computational mesh.
Johan Roenby   +2 more
doaj   +1 more source

Virtual Element Methods on Meshes with Small Edges or Faces

open access: yes, 2017
We consider a model Poisson problem in $\R^d$ ($d=2,3$) and establish error estimates for virtual element methods on polygonal or polyhedral meshes that can contain small edges ($d=2$) or small faces ($d=3$).Comment: 36 ...
Brenner, Susanne C., Sung, Li-yeng
core   +1 more source

Application of 3D scanning technology in Royal Malaysian Air Force Industrial Revolution 4.0‐based aircraft maintenance

open access: yesIET Networks, EarlyView., 2022
Abstract 3D scanning is rapidly becoming a key maintenance tool. Aerospace was a pioneer in adopting 3D scanning technology because aircraft manufacture and maintenance require precision. Monitoring deterioration, removing components for maintenance, and verifying covert operations are not practical or helpful without technology.
T. Nanthakumaran Thulasy   +4 more
wiley   +1 more source

A GPU-Based Framework for Generating Implicit Datasets of Voxelized Polygonal Models for the Training of 3D Convolutional Neural Networks

open access: yesIEEE Access, 2020
In this paper we present an efficient GPU-based framework to dynamically perform the voxelization of polygonal models for training 3D convolutional neural networks.
Carlos J. Ogayar-Anguita   +4 more
doaj   +1 more source

Deep Neural Network for 3D Shape Classification Based on Mesh Feature

open access: yesSensors, 2022
Virtual reality, driverless cars, and robotics all make extensive use of 3D shape classification. One of the most popular ways to represent 3D data is with polygonal meshes. In particular, triangular mesh is frequently employed.
Mengran Gao   +3 more
doaj   +1 more source

A Nystr\"om-based finite element method on polygonal elements

open access: yes, 2017
We consider families of finite elements on polygonal meshes, that are defined implicitly on each mesh cell as solutions of local Poisson problems with polynomial data.
Anand, Akash   +2 more
core   +1 more source

Bijective Mappings Of Meshes With Boundary And The Degree In Mesh Processing [PDF]

open access: yes, 2014
This paper introduces three sets of sufficient conditions, for generating bijective simplicial mappings of manifold meshes. A necessary condition for a simplicial mapping of a mesh to be injective is that it either maintains the orientation of all ...
Lipman, Yaron
core   +2 more sources

Embedded Implicit Stand-ins for Animated Meshes: a Case of Hybrid Modelling [PDF]

open access: yes, 2008
In this paper we address shape modelling problems, encountered in computer animation and computer games development that are difficult to solve just using polygonal meshes.
Adzhiev, Valery   +4 more
core  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Home - About - Disclaimer - Privacy