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A Study on the Production of 3D Datasets for Stone Pagodas by Period in Korea

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(9), pp.105-111
  • DOI : 10.9708/jksci.2023.28.09.105
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 4, 2023
  • Accepted : August 29, 2023
  • Published : September 27, 2023

Byong-Kwon Lee 1 Eun-Ji Kim 1

1서원대학교

Accredited

ABSTRACT

Currently, most of content restoration using artificial intelligence learning is 2D learning. However, 3D form of artificial intelligence learning is in an incomplete state due to the disadvantage of requiring a lot of computation and learning speed from the existing 2 axes (X, Y) to 3 axes (X, Y, Z). The purpose of this paper is to secure a data-set for artificial intelligence learning by analyzing and 3D modeling the stone pagodas of ourinari by era based on the two-dimensional information (image) of cultural assets. In addition, we analyzed the differences and characteristics of towers in each era in Korea, and proposed a feature modeling method suitable for artificial intelligence learning. Restoration of cultural properties relies on a variety of materials, expert techniques and historical archives. By recording and managing the information necessary for the restoration of cultural properties through this study, it is expected that it will be used as an important documentary heritage for restoring and maintaining Korean traditional pagodas in the future.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.