A Study on Tower Modeling for Artificial Intelligence Training in Artifact Restoration (유물 복원 시 인공지능 훈련을 위한 탑 모델링에 관한 연구)

Byong-Kwon Lee (이병권); Young-Chae Park (박영채)

doi:10.9708/jksci.2023.28.09.027

A Study on Tower Modeling for Artificial Intelligence Training in Artifact Restoration

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2023, 28(9), pp.27-34
DOI : 10.9708/jksci.2023.28.09.027
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : July 27, 2023
Accepted : August 22, 2023
Published : September 27, 2023

Byong-Kwon Lee ¹, Young-Chae Park ¹

¹서원대학교

Accredited

ABSTRACT

This paper studied the 3D modeling process for the restoration of the 'Three-story Stone Pagoda of Bulguksa Temple in Gyeongju', a stone pagoda from the Unified Silla Period, using artificial intelligence (AI). Existing 3D modeling methods generate numerous verts and faces, which takes a considerable amount of time for AI learning. Accordingly, a method of performing more efficient 3D modeling by lowering the number of verts and faces is required. To this end, in this study, the structure of the stone pagoda was deeply analyzed and a modeling method optimized for AI learning was studied. In addition, it is meaningful to propose a new 3D modeling methodology for the restoration of stone pagodas in Korea and to secure a data set necessary for artificial intelligence learning.

KEYWORDS

AI, Stone Pagoda, 3D Modeling, Restoration, DataSet

Citation status

* References for papers published after 2023 are currently being built.

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

KJCKorea
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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on Tower Modeling for Artificial Intelligence Training in Artifact Restoration

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* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on Tower Modeling for Artificial Intelligence Training in Artifact Restoration

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KEYWORDS

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* References for papers published after 2023 are currently being built.