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Geometry Compression for 3D Polygonal Models using a Neural Network

by Nadine Abu Rumman, Samir Abou El-Seoud, Khalaf F. Khatatneh, Christain Gutl
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 29
Year of Publication: 2010
Authors: Nadine Abu Rumman, Samir Abou El-Seoud, Khalaf F. Khatatneh, Christain Gutl
10.5120/580-744

Nadine Abu Rumman, Samir Abou El-Seoud, Khalaf F. Khatatneh, Christain Gutl . Geometry Compression for 3D Polygonal Models using a Neural Network. International Journal of Computer Applications. 1, 29 ( February 2010), 13-22. DOI=10.5120/580-744

@article{ 10.5120/580-744,
author = { Nadine Abu Rumman, Samir Abou El-Seoud, Khalaf F. Khatatneh, Christain Gutl },
title = { Geometry Compression for 3D Polygonal Models using a Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 29 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 13-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number29/580-744/ },
doi = { 10.5120/580-744 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:41:57.654892+05:30
%A Nadine Abu Rumman
%A Samir Abou El-Seoud
%A Khalaf F. Khatatneh
%A Christain Gutl
%T Geometry Compression for 3D Polygonal Models using a Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 29
%P 13-22
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Three dimensional models are commonly used in computer graphics and 3D modeling characters in animation movies and games. 3D objects are more complex to handle than other multimedia data due to the fact that various representations exist for the same object, yielding a number of difficulties, among of which are the distinct sources of 3D data. Research work in the field of three dimensional environments is represented by a broad spectrum of applications. In this paper we restrict ourselves only on how to do compression using a neural network in order to minimize the size of 3D models for making transmission over networks much faster. The main objective behind this compression is to simplify the 3D model and make handling the large size of 3d objects much easier for other processes. Even the process of rendering, digital watermarking, etc., will be faster and more efficient.

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Index Terms

Computer Science
Information Sciences

Keywords

Geometry Compression Artificial Intelligent Genetic Algorithm Neural Network Multilayer feed forward

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