Special Issues
Table of Content

Beyond the Surface: Exploring the Depths of Deep Learning in Face Recognition

Submission Deadline: 01 June 2025 View: 415 Submit to Special Issue

Guest Editors

Prof. Dr. Soo Kyun Kim

Email: kimsk@jejunu.ac.kr

Affiliation: Department of Computer Engineering, Jeju National University, Jeju, 63243, South Korea.

Homepage:  https://ce.jejunu.ac.kr/ce/professor/professorinfo.htm

Research Interests: Facial Expressions, 3D Reconstruction, Graph Attention Network, Graph Neural Networks

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Prof. Dr. Min Hong

Email: mhong@sch.ac.kr

Affiliation: Computer Software Engineering, Soonchunhyang University, Asan-si, 31538, South Korea.

Homepage:

Research Interests: physically-based modeling and simulation, bioinformatics, and image processing related applications

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Summary

This special issue delves into the cutting-edge technology of three-dimensional (3D) facial reconstruction, which generates a 3D model of a face by estimating its shape and structure from a two-dimensional (2D) image. This technique significantly enhances workflows and improves output quality in various fields such as computer vision, graphic design, game development, and film technology. Creating lifelike virtual characters with realistic faces in virtual reality (VR) or augmented reality (AR) and enhancing the realism of gaming characters are crucial objectives. The 3D facial reconstruction technique enables detailed facial expressions, emotions, and lip movements in virtual characters, thereby increasing their believability and realism.


Both original research and reviews will be considered. The following subtopics are the particular interests of this special issue, including but not limited to:

1) Advanced Techniques in 3D Facial Reconstruction from 2D Images

2) Integrating Multi-Modal Data for Robust 3D Facial Reconstruction

3) Enhancing Realism in Virtual Characters

 



Keywords

Facial Expressions, 3D Reconstruction, Graph Attention Network, Applications in VR/AR environments and interactive media, Hybrid Neural Network Architectures

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