Earticle

초록

영어

Due to the COVID-19 pandemic, society's interest in the metaverse has recently increased rapidly. By using avatars, which are virtual objects that represent users within the metaverse, people enjoy a higher degree of freedom in the virtual world and various interactions with other people become possible. In most metaverse platforms, the user selects one from a limited number of pre-made avatar templates. Afterwards, the user must individually select the avatar's hair style, eyes, nose, and mouth shape from among those presented within the metaverse platform. Creating an avatar that resembles the user is not an easy task because the presented options for facial features and hairstyles are limited. In this paper, we present a method to automatically generate a 3D head model from a user's 2D face image and implement a prototype system. We show that a 3D head model creation system can be built at low cost and in a short time by utilizing open source at each stage of model creation. In this study, the process of applying facial texture to the 3D face shape was omitted and focused on 3D modelling work.

목차

Abstract
1. Introduction
2. Related Works
3. Methodology
3.1 Creating a 3D face shape from a 2D face image
3.2 Combination of a 3D face shape and a basic 3D head model
3.3 Hair segmentation
3.4 Matching 3D hair models
3.5 Combination of a 3D hair model and a 3D head model
4. System Implementation
5. Performance Evaluation
6. Conclusion
References

키워드

저자

• Kyungho Kim [ Undergraduate student, Dept. of Computer Science, Seokyeong University, Korea ]
• Woochang Shin [ Professor, Dept. of Computer Science, Seokyeong University, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Internet, Broadcasting and Communication

• 간기

  계간

• pISSN

  2288-4920

• eISSN

  2288-4939

• 수록기간

  2009~2025

• 십진분류

  KDC 326 DDC 380