A new mesh smoothing method based on a neural network
As an elementary mesh quality improvement technique, smoothing has been widely used in
finite element (FE) analysis. Heuristic smoothing methods and optimization-based …
finite element (FE) analysis. Heuristic smoothing methods and optimization-based …
Feature-preserving mesh simplification through anisotropic Nyquist-based adaptive sampling of points inside the segmented regions
A wide increase of 3D applications for using mobile phones and other electrical devices
reveals the importance of 3D mesh representation. Since visualization and implementation …
reveals the importance of 3D mesh representation. Since visualization and implementation …
based simplification using f-divergences
We propose a new viewpoint-based simplification method for polygonal meshes, driven by
several f-divergences such as Kullback–Leibler, Hellinger and Chi-Square. These distances …
several f-divergences such as Kullback–Leibler, Hellinger and Chi-Square. These distances …
Range data simplification for reverse engineering
M Chang, SC Park - The International Journal of Advanced Manufacturing …, 2009 - Springer
Presented in this paper is a procedure enabling the direct extraction of a simplified triangular
mesh from a range image. Although there have been many existing algorithms for …
mesh from a range image. Although there have been many existing algorithms for …
Machine learning-based geometric mesh simplification
J Brettle - US Patent 10,643,384, 2020 - Google Patents
Techniques of simplifying triangular meshes involve performing machine learning on
triangle mesh data to produce simplified triangle mesh data representing a simplified …
triangle mesh data to produce simplified triangle mesh data representing a simplified …
A neural network model to develop urban acupuncture
The urban world of the 21st century is composed of numerous nodes, streams and webs,
which create a new landscape of globalization and impose different logic of space and time …
which create a new landscape of globalization and impose different logic of space and time …
A surface reconstruction method based on self-organizing maps and intrinsic delaunay triangulation
We propose a surface reconstruction method based on self-organizing maps that grows
incrementally. The method, a variant of a previously proposed method called Growing Self …
incrementally. The method, a variant of a previously proposed method called Growing Self …
An effective approach to the use of 3D scanning technology which shortens the development time of 3D models
G Constantinou, G Wilson… - … on Optimization of …, 2017 - ieeexplore.ieee.org
The development process of creating 3D models such as characters, objects and
landscapes is very time-consuming. This paper explores some new alternative …
landscapes is very time-consuming. This paper explores some new alternative …
Surface reconstruction with smart growing cells
H Annuth, CA Bohn - Intelligent Computer Graphics 2010, 2010 - Springer
Abstract We propose Growing Cells Meshing (GCM)-a reconstruction algorithm which
creates triangle meshes from clouds of arbitrary point samples registered on object surfaces …
creates triangle meshes from clouds of arbitrary point samples registered on object surfaces …
A neural network model to develop actions in urban complex systems represented by 2d meshes
The main idea of this work is to present a tool which may be useful to generate a mesh of
points where urban actions may be taken after analysing and understanding complex urban …
points where urban actions may be taken after analysing and understanding complex urban …