3D Modeling of Virtualized Reality Objects using Neural Computing

Authors(2) :-P. Sheepa, A. Charles

3D modeling of virtualized reality objects which follow a methodology using neural computing. In this paper, there are three acquisition systems: endoneurographic equipment (ENS), stereo vision system and non-contact 3D digitizer. The 3D virtualized representation correspond to several objects as phantom brain tumor, archaeological items, faces, things which have more complications This also comparison in terms of computational cost, architectural complexity, training methods, training epochs and performance. The research paper will conclude that it gives the best performance and the lowest displaying times, lowest memory requirements and acceptable training times with the help of the various methods used in this research paper.

Authors and Affiliations

P. Sheepa
Department of Computer Science, St. Joseph’s college, Trichy Tamilnadu, India
A. Charles
Department of Computer Science, St. Joseph’s college, Trichy Tamilnadu, India

Neural network, 3D model Endoneurosonographic system (ENS).

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 726-730
Manuscript Number : IJSRSET1624160
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

P. Sheepa, A. Charles, " 3D Modeling of Virtualized Reality Objects using Neural Computing, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.726-730, July-August-2016.
Journal URL : http://ijsrset.com/IJSRSET1624160

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