대한민국 시대별 석탑 3D 데이터셋 제작에 관한 연구
A Study on the Production of 3D Datasets for Stone Pagodas by Period in Korea
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초록
현재, 인공지능 학습을 이용한 콘텐츠 복원의 대부분 2D 형태의 학습이 대부분이다. 하지만, 3D형태의 인공지능 학습은 기존의 2축(X,Y)에서 3축(X,Y,Z)의 많은 계산량과 학습속도가 많이 소요되는 단점으로 미진한 상태이다. 본 논문은 2차원적인 문화재 정보(이미지)를 기반을 시대별 우리나리 석탑을 분석하고 3D 모델링해 인공지능 학습을 위한 데이터-셋을 확보하는 것이 목적이다. 또한, 대한민국의 시대별 탑의 차이점과 특징을 분석하고, 인공지능 학습에 적합한 특징 모델링 방법을 제안했다. 문화재 복원은 다양한 자료와 전문가의 기술 및 역사적인 기록물 자료에 의존해 복구한다. 본 연구로 문화재 복원에 필요한 정보를 기록하고 관리함으로써 향후 우리나라전통 탑을 복원하고 유지하는 중요한 기록 유산으로 활용될 수 있을 것으로 사료된다.
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.
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