Last edited by Arashisho
Sunday, July 26, 2020 | History

3 edition of 3D feature extraction for unstructured grids found in the catalog.

3D feature extraction for unstructured grids

3D feature extraction for unstructured grids

  • 266 Want to read
  • 38 Currently reading

Published by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Algorithms.,
  • Unstructured grids (Mathematics),
  • Pattern recognition.,
  • Computerized simulation.,
  • Scientific visualization.,
  • Image processing.

  • Edition Notes

    Other titlesThree D feature extraction for unstructured grids.
    Statementby D. Silver.
    Series[NASA contractor report] -- NASA-CR-202440., NASA contractor report -- NASA CR-202440.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15486957M

    Bibliography R. Abgrall, (), Numerical discretisation of boundary conditions for first order Hamilton Jacobi equations, SIAM Journal on Numerical Analysis. Google Scholar. Search the leading research in optics and photonics applied research from SPIE journals, conference proceedings and presentations, and eBooks.

    B. Kumari, , and J. Sreevalsan-Nair, ``Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud,'' in the Proceedings of the Third International Conference on Big Data Analytics, Lecture Notes in Computer Science (LNCS) Series, Vol. , , pp , Springer. Parallel Algorithms for Irregularly Structured Problems: Third International Workshop, IRREGULAR '96 Santa Barbara, CA, USA, August , Proceedings. An experimental study --Parallel implementation of an adaptive scheme for 3D unstructured grids on the SP2 --Solution of large, Lineal feature extraction by parallel stick growing.

      As the core component of the system, a robust 3D mesh generation approach is presented. It is capable of describing irregular geometries exhibiting concave and convex surfaces. It uses deltahedral building blocks for volume mesh generation and creates high-quality, regular-shaped tetrahedral mesh by: Washington, DC, the capital of the U.S., is located along the Upper Tidal Potomac River, where a reliable operational model is needed for making predictions of storm surge and river-induced flooding. We set up a finite volume model using a semi-implicit, Eulerian-Lagrangian scheme on a base grid ( m) and a special feature of sub-grids (10 m), sourced with high-resolution Cited by: 7.


Share this book
You might also like
collection of acts of Parliament

collection of acts of Parliament

Careers in focus.

Careers in focus.

introductory lecture delivered in Boston, before the American Institute of Instruction, August 25, 1831

introductory lecture delivered in Boston, before the American Institute of Instruction, August 25, 1831

Mirror, Mirror on the Wall... Who is in there after all?

Mirror, Mirror on the Wall... Who is in there after all?

II International Conference in Stochastic Geometry, Convex Bodies and Empirical Measures

II International Conference in Stochastic Geometry, Convex Bodies and Empirical Measures

Founding charter schools

Founding charter schools

Lassie Come-home.

Lassie Come-home.

Literary originals of Sussex

Literary originals of Sussex

Strange angels

Strange angels

Transitional economic systems

Transitional economic systems

The house of blue leaves.

The house of blue leaves.

Lineage of the Lloyd and Carpenter family

Lineage of the Lloyd and Carpenter family

Microbiological assay of fungicide-treated seeds

Microbiological assay of fungicide-treated seeds

3D feature extraction for unstructured grids Download PDF EPUB FB2

Get this from a library. 3D feature extraction for unstructured grids. [Deborah Silver; United States. National Aeronautics and Space Administration.]. The paper discusses techniques for extracting feature lines from three-dimensional unstructured grids.

The twin objectives are to facilitate the interactive manipulation of these typically very large and dense meshes, and to clarify the visualization of the solution data that accompanies them. The authors describe the perceptual importance of specific viewpoint-dependent and view.

A number of methods for out-of-core visualization including isosurface extraction, and rendering of large unstructured grids have been proposed [4] [8] [17].

[35] [12] presented application. An Efficient Point Location Method for Visualization in Large Unstructured Grids. and requires resorting to 3D spatial by flow feature extraction which aims at presenting a highly compact.

3D time-varying unstructured and structured data sets are difficult to visualize and analyze because of the immense amount of data involved. These data sets contain many evolving amorphous regions, and standard visualization techniques provide no facilities to aid the scientist to follow regions of interest.

In this paper, we present a basic framework for the visualization of. Enhanced knowledge of overland flow physics, improved data collection methods, and superior scientific computing technology have resulted in a transition from structured grids to unstructured mesh models.

An unstructured triangular mesh is the medium for which a continuous domain (e.g., Earth’s surface) can be discretized, and is Cited by: This book constitutes the refereed proceedings of the Third International Workshop on Parallel Algorithms for Irregularly Structured Problems, IRREGULAR '96, held in Santa Parallel implementation of an adaptive scheme for 3D unstructured grids on the SP2.

Leonid Oliker, Rupak Biswas, Roger C. Strawn Lineal feature extraction by parallel. This book constitutes the refereed proceedings of the Third International Workshop on Parallel Algorithms for Irregularly Structured Problems, IRREGULAR '96, held in Santa Barbara, California, in August The volume presents 28 revised full papers selected from 51 submissions; also included are.

In this article we present the state of the art in feature‐based flow visualisation techniques. We will present numerous feature extraction techniques, categorised according to the type of feature.

Next, feature tracking and event detection algorithms are discussed, for studying the evolution of features in time‐dependent data by: American Institute of Aeronautics and Astronautics Sunrise Valley Drive, Suite Reston, VA A novel feature of the SAUNA suite is that it is designed to use either block-structured hexahedral grids, unstructured tetrahedral grids, or a hybrid combination of both grid types.

ESAUNA is designed to solve the Euler equations or the Navier-Stokes equations, the latter in conjunction with various turbulence models. Summary.

An optimal combustion process within an engine block is central to the performance of many motorized vehicles. Associated with this process are two important patterns of flow: swirl and tumble motion, which optimize the mixing of fluid within each of an engine's by: The predictions from air quality models are subject to many sources of uncertainty; among them, grid resolution has been viewed as one that is limited by the availability of computational resources.

A large grid size can lead to unacceptable errors for many pollutants formed via nonlinear chemical reactions. Further, insufficient grid resolution limits the ability to perform Cited by: Geometry Extraction. Geometry extraction selects data based on geometric or topological characteristics.

A common extraction technique selects a set of points and cells that lie within a specified range of ids. A typical example is selecting all cells having ids betweenor all cells using point ids CFD 1st AIAA CFD Student Paper Competition • Monday, 06 June • hrs.

Editor's Note: This multi-part series is based on Chapter 7 of "Learning Geospatial Analysis with Python" and republished with permission from Packt Publishing. This series will cover using Python to work with elevation data. Introduction Elevation data is one of the most fascinating types of geospatial data.

Feature tables are used in geodatabases that store data as a binary data type, such as SQL Server geodatabases. They are related to the business table of a feature class through the feature ID. In the database, feature table names are prefaced with an f and are stored in the schema of the user who owns the feature class.

() Anisotropic mesh adaptation for 3D flows on structured and unstructured grids. Computer Methods in Applied Mechanics and Engineering() Computing directional constrained Delaunay by: This book is based on selected lectures given by leading experts in scientific visualization during a workshop held at Schloss Dagstuhl, Germany.

Topics include user issues in visualization, large data visualization, unstructured mesh processing for visualization, volumetric visualization, flow visualization, medical visualization and. This book presents revised versions of the best papers selected from the symposium “Mathematical Progress in Expressive Image Synthesis” (MEIS) held in Fukuoka, Japan, in The topics cover various areas of computer graphics (CG), such as surface deformation/editing, character animation, visual simulation of fluids, texture and Brand: Springer Japan.

The scope of the book includes applications and topics of interest related to the simulation of high-lift configurations such as: lift and drag prediction, unsteady aerodynamics, low Reynolds effects, high performance computing, turbulence modelling, flow feature visualization, among others.View Structured Data Unstructured Data PPTs online, safely and virus-free!

Many are downloadable. Learn new and interesting things. Get ideas .() Simple finite element-based computation of distance functions in unstructured grids. International Journal for Numerical Methods in Engineering() Interactive Visualization of Volumetric White Matter Connectivity in DT-MRI Using a Parallel-Hardware Hamilton-Jacobi by: