A neural network based finite element grid generation algorithm for the simulation of light propagation

DOI10.1016/S0168-9274(03)00040-0zbMath1024.65019OpenAlexW2053312457MaRDI QIDQ1405130

Christian-Arved Bohn

Publication date: 25 August 2003

Published in: Applied Numerical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0168-9274(03)00040-0

zbMATH Keywords

finite element methodnumerical examplescomputer graphicsartificial neural networksrealistic image synthesisrenderingradiosityself-organizing mappingsurface meshinggrowing cell structurestransfer of light

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Mesh generation, refinement, and adaptive methods for boundary value problems involving PDEs (65N50)

Cites Work

• Unnamed Item
• Unnamed Item
• Self-organized formation of topologically correct feature maps
• Cluster analysis. A survey
• TECHNICAL NOTE—Optimal Product Pricing and Component Production Quantities for an Assembly System Under Supply Uncertainty

This page was built for publication: A neural network based finite element grid generation algorithm for the simulation of light propagation