Earticle

초록

영어

This paper presents an alternative solution for applying MetaHuman facial animations using MediaPipe, providing a versatile option to the Live Link iPhone system. Our approach involves capturing facial expressions with various camera devices, including webcams, laptop cameras, and Android phones, processing the data for landmark detection, and applying these landmarks in Unreal Engine Blueprint to animate MetaHuman characters in real-time. Techniques such as the Eye Aspect Ratio (EAR) for blink detection and the One Euro Filter for data smoothing ensure accurate and responsive animations. Experimental results demonstrate that our system provides a cost-effective and flexible alternative for iPhone non-users, enhancing the accessibility of advanced facial capture technology for applications in digital media and interactive environments. This research offers a practical and adaptable method for real-time facial animation, with future improvements aimed at integrating more sophisticated emotion detection features.

목차

Abstract
1. Introduction
2. Background
3. Experiments and Process
3.1 Initial Setup and Programming
3.2. Eye Aspect Ratio (EAR) Calculation
3.3. Smoothing Data with One Euro Filter
3.4. Integrating Data into Unreal Engine
4. Results and Discussion
5. Conclusion
References

키워드

저자

• Balgum Song [ Professor, Department of International College, Dongseo University, Korea ] Corresponding Author
• Arminas Baronas [ B.A. Department of International College, Dongseo University, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380