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Article:Incremental Error Analysis of 3D Polygonal Model through MAYA API

by Prof. Yogesh Singh, Prof. B.V.R.Reddy, R.Rama Kishore
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Number 1
Year of Publication: 2010
Authors: Prof. Yogesh Singh, Prof. B.V.R.Reddy, R.Rama Kishore
10.5120/1178-1617

Prof. Yogesh Singh, Prof. B.V.R.Reddy, R.Rama Kishore . Article:Incremental Error Analysis of 3D Polygonal Model through MAYA API. International Journal of Computer Applications. 8, 1 ( October 2010), 22-27. DOI=10.5120/1178-1617

@article{ 10.5120/1178-1617,
author = { Prof. Yogesh Singh, Prof. B.V.R.Reddy, R.Rama Kishore },
title = { Article:Incremental Error Analysis of 3D Polygonal Model through MAYA API },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 8 },
number = { 1 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume8/number1/1178-1617/ },
doi = { 10.5120/1178-1617 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:26.688602+05:30
%A Prof. Yogesh Singh
%A Prof. B.V.R.Reddy
%A R.Rama Kishore
%T Article:Incremental Error Analysis of 3D Polygonal Model through MAYA API
%J International Journal of Computer Applications
%@ 0975-8887
%V 8
%N 1
%P 22-27
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Generally applications in computer graphics use very high detailed models. These models are too compound for the limited hardware capacity and take much time to render and to transmit. Related fields can benefit from simplification of complex polygonal models. This introduces errors in the models during the process of simplification. It is require to judge when to stop the simplification process as rate of error change in the model is not same in every step of simplification process. It is required to measure the error in the model during simplification to judge the quality of the 3D model at every stage. It is proposed to measure the error in the model at every stage and analyze the rate of change of error in the model as a valuable tool for managing data complexity. This algorithm is implemented on 4 different sets of models. Each set contains models at different number of polygon levels. Experiments are repeated to measure error on them at each level. In order to gain in both memory and speed, VC++ API is developed and created a MLL (Maya link library) to load as a plug-in in Maya.

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Index Terms

Computer Science
Information Sciences

Keywords

Error metric MAYAAPI Plug–in

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