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A study on metaverse of China's Dunhuang Frescoes through COSPACES EDU

COSPACES EDU를 통한 중국 둔황 원시벽화 메타버스 연구

  • Liu, Bo-Ya (Dept. of Entertainment & Contents Design, College of Design, Kookmin University) ;
  • Oh, Seung-Hwan (Dept. of Entertainment Design, College of Design, Kookmin University)
  • 유보아 (국민대학교 영상콘텐츠디자인학과) ;
  • 오승환 (국민대학교 영상디자인학과)
  • Received : 2021.08.31
  • Accepted : 2021.11.20
  • Published : 2021.11.28

Abstract

Due to natural and human factors, dunhuang frescoes in China have gradually degenerated. China has conducted digital transformation of frescoes since 1990. However, it requires expensive research costs. Most of the visitors passively accept transformation contents and lack subjective participation. The paper focuses on produces a prototype of Dunhuang frescoes on the CoSpaces EDU. It was implemented as a metaverse through procedures such as transforming the cave into 3D, mapping images to the cave model and developing CoBlocks. The research puts forward a more specific methodology without expensive costs of development. The paper makes it easier to realize the immersive and interactive virtual Dunhuang frescoes world, to improve the tourism contents and educational effect. This research carries on the statistics to the product result which develops according to the user experience of 100 different ages, has obtained the good feedback. The research results need to be improved is to strengthen the processing of graphic details. Therefore, Optimization and improvement of the result will be carried out in the future research.

중국의 둔황 벽화는 자연과 인위적인 요소로 인하여 점점 퇴화되고 있으며 중국 둔황 벽화에 대한 보호연구는 1990년부터 벽화의 디지털 트랜스포메이션을 실시하였다. 그러나 값비싼 연구비용이 필요하고 대부분 관람객들은 디지털미디어에서 관람을 수동적으로 받아들이며 메타버스형 참여가 부족했다고 판단된다. 본 연구는 둔황 고굴 벽화를 연구범위로 정하고, 메타버스를 위해 COSPACES EDU 플랫폼에서 프로토타입을 제작하였다. 둔황벽화를 3차원으로 변환시키고 동굴모형에 이미지를 매핑하여 관광과 교육을 위한 코블록스 블록을 개발하는 등의 절차를 통하여 구현하였다. 또한 사례 연구를 통해 비싼 개발비용을 사용하지 않는 구체적인 방법론을 제시하여 몰입형 둔황벽화 세계를 쉽게 구축하고 관광 콘텐츠와 교육효과를 높이기 위한 프로세스를 개발 제안하였다. 그리고 100개의 유저 체험 설문 피드백을 기준으로 개선해야 할 연구 방향은 문화제 디테일에 대한 퀄리티를 강화하는 것으로 나타났다. 향후 연구를 통해 이를 보완, 최적화해야 할 것으로 판단된다.

Keywords

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