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Research Article | Open Access |

Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects

Author 1: Kohei Arai
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 6 · Published 2013

DOI: 10.14569/IJARAI.2013.020608

Abstract

Method for 3D rendering based on intersection image display which allows representation of internal structure is proposed. The proposed method is essentially different from the conventional volume rendering based on solid model which allows representation of just surface of the 3D objects. By using afterimage, internal structure can be displayed through exchanging the intersection images with internal structure for the proposed method. Through experiments with CT scan images, the proposed method is validated. Also one of other applicable areas of the proposed for design of 3D pattern of Large Scale Integrated Circuit: LSI is introduced. Layered patterns of LSI can be displayed and switched by using human eyes only. It is confirmed that the time required for displaying layer pattern and switching the pattern to the other layer by using human eyes only is much faster than that using hands and fingers.

Keywords

How to Cite this Article

Arai, K. (2013). Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects. International Journal of Advanced Research in Artificial Intelligence, 2(6). https://doi.org/10.14569/IJARAI.2013.020608

Arai, Kohei. "Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 6, 2013, https://doi.org/10.14569/IJARAI.2013.020608.

@article{Arai2013,
  title     = {Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {6},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJARAI.2013.020608},
  url       = {https://doi.org/10.14569/IJARAI.2013.020608}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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