Application of a Workflow for the Construction and Interactive Development of Digital Humans From Real-Person Facial Photos: A Case Study

Digital humans act as pivotal interfaces between the virtual and physical dimensions, significantly influencing interactive design within the Metaverse. As the Metaverse concept gains traction across diverse sectors, the implementation of technologies such as digital humans has become increasingly prevalent. The Metaverse provided virtual environment serves as an online hub for user socialization and a variety of activities. A significant proportion of users express a desire to create virtual avatars that closely reflect their own physical appearance. Although various technical solutions for avatar creation exist, they often fail to satisfy the specific demand for digital humans that accurately represent users' real-life appearances. Traditional 3D modeling and scanning methods, which require expensive equipment and significant time commitments, are also not optimal for supporting advanced interactive applications. Therefore, there is a pressing need in the industry for a streamlined workflow that can rapidly generate digital humans based on actual facial features. This research examines the interactive design necessities of the Metaverse and assesses current technologies for creating digital humans from users' facial images. It further investigates the potential for integrating these technologies in a synergistic manner to address the current shortfall. The proposed workflow in this study is intended to serve as a benchmark for future advancements in digital human development within the Metaverse.

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Published
2024-10-25
DOI
https://doi.org/10.1109/icid64166.2024.11024597
Citations
1
Primary Topic
Augmented Reality Applications
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article
Field-Weighted Citation Impact
0.25
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article

Application of a Workflow for the Construction and Interactive Development of Digital Humans From Real-Person Facial Photos: A Case Study

Byung-Gyoo Kang, Tianlun Yang, Georgios Kapogiannis, Zhenyu Hu et al.
1 citations
Augmented Reality Applications
0.25
article

Application of a Workflow for the Construction and Interactive Development of Digital Humans From Real-Person Facial Photos: A Case Study

Byung-Gyoo Kang, Tianlun Yang, Georgios Kapogiannis, Zhenyu Hu, Aixi Yang, Yanhui Wu
article en
1 citations

Abstract

Digital humans act as pivotal interfaces between the virtual and physical dimensions, significantly influencing interactive design within the Metaverse. As the Metaverse concept gains traction across diverse sectors, the implementation of technologies such as digital humans has become increasingly prevalent. The Metaverse provided virtual environment serves as an online hub for user socialization and a variety of activities. A significant proportion of users express a desire to create virtual avatars that closely reflect their own physical appearance. Although various technical solutions for avatar creation exist, they often fail to satisfy the specific demand for digital humans that accurately represent users' real-life appearances. Traditional 3D modeling and scanning methods, which require expensive equipment and significant time commitments, are also not optimal for supporting advanced interactive applications. Therefore, there is a pressing need in the industry for a streamlined workflow that can rapidly generate digital humans based on actual facial features. This research examines the interactive design necessities of the Metaverse and assesses current technologies for creating digital humans from users' facial images. It further investigates the potential for integrating these technologies in a synergistic manner to address the current shortfall. The proposed workflow in this study is intended to serve as a benchmark for future advancements in digital human development within the Metaverse.

University of Nottingham Ningbo China (CN), Ningbo University of Technology (CN), Ningbo Institute of Industrial Technology (CN), Qatar University (QA)
Openalex Percentile: Top 41%
Augmented Reality Applications
0.25
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