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논문검색

Convergence of Internet, Broadcasting and Communication

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

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

저자정보

  • Zheng-Dong Hou Ph. D student, Department of Visual Contents, Dongseo University, Korea
  • Ki-Hong Kim Professor, Department of Visual Animation, Dongseo University, Korea
  • 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

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