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Real-time Markerless Facial Motion Capture of Personalized 3D Real Human Research

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.14 No.1 (2022.02)바로가기
  • 페이지
    pp.129-135
  • 저자
    Zheng-Dong Hou, Ki-Hong Kim, David-Junesok Lee, Gao-He Zhang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A409184

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원문정보

초록

영어
Real human digital models appear more and more frequently in VR/AR application scenarios, in which realtime markerless face capture animation of personalized virtual human faces is an important research topic. The traditional way to achieve personalized real human facial animation requires multiple mature animation staff, and in practice, the complex process and difficult technology may bring obstacles to inexperienced users. This paper proposes a new process to solve this kind of work, which has the advantages of low cost and less time than the traditional production method. For the personalized real human face model obtained by 3D reconstruction technology, first, use R3ds Wrap to topology the model, then use Avatary to make 52 Blend-Shape model files suitable for AR-Kit, and finally realize real-time markerless face capture 3D real human on the UE4 platform facial motion capture, this study makes rational use of the advantages of software and proposes a more efficient workflow for real-time markerless facial motion capture of personalized 3D real human models, The process ideas proposed in this paper can be helpful for other scholars who study this kind of work.

목차

Abstract
1. Introduction
2. 3D real human model topology
3. Blend shape making and the realization of real-time markerless facial motion capture in the UE4 platform
4. Conclusion
References

저자

  • Zheng-Dong Hou [ Ph. D student, Department of Visual Contents, Dongseo University, Korea ]
  • Ki-Hong Kim [ Professor, Department of Visual Animation, Dongseo University, Korea ] Corresponding author
  • David-Junesok Lee [ Assistant professor, Department of Visual Contents, Dongseo University, Korea ]
  • Gao-He Zhang [ Master D. student, Department of Visual Contents, Dongseo University, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.14 No.1

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