3D Model Reconstruction from Two Orthographic Views using Fuzzy Surface Analysis
Hamid Haghshenas Gorgani 1, Alireza Jahantigh Pak 2, Sadegh Sadeghi 3 *
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1 Engineering Graphics Center, Sharif University of Technology, Tehran, IRAN2 Head of Engineering Graphics Center, Sharif University of Technology, Tehran, IRAN3 Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, IRAN* Corresponding Author

Abstract

The need for revision, the difficulty of visualization, and the impossibility of using 2D drawings as the input of manufacturing machines make us attempt to acquire a 3D model from 2D engineering drawings. However, the main problem in this process is that we encounter many potential uncertainties. In this paper, to overcome this problem, we used the fuzzy logic as a mathematical tool based on knowledge of an expert. One of the most outstanding advantages of using the fuzzy logic is that uncertainty in related equivalent elements in different orthographic views is reduced. Another important feature of this method is that only two orthographic views are used to reconstruct the 3D model, while in previous methods, three orthographic views were used. Reducing the limitations of reconstruction of 3D models will result lower cost because of simulation of production processes on a 3D model and direct connection to CAD/CAM Systems, conservation of natural resources and more security for documents by maintaining drawings in computer memory, improved education quality and increased health level as a result of better visualization using 3D Object which will ultimately lead to sustainable development.

License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EUR J SUSTAIN DEV RES, Volume 3, Issue 2, 2019, Article No: em0081

https://doi.org/10.29333/ejosdr/5726

Publication date: 03 Mar 2019

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Article Downloads: 2350

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