3D Modeling of Virtualized Reality Objects using Neural Computing

Authors

  • 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

Keywords:

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

Abstract

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.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-08-30

Issue

Volume 2, Issue 4, July-August-2016

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.