Su‐Jin Jung
Papers
1
Total Citations
14
H-Index
1
About
Su-Jin Jung is a leading researcher in facial anatomy and its applications to cosmetic surgery and facial recognition technology. Her work centers on the quantitative analysis of facial expression, using advanced 3D motion capture systems to map the intricate topography of facial muscles. By demonstrating that muscle shapes, their attachments to the skin, and their relative functions differ significantly between genders and among individuals, she has provided critical insights into the biomechanics of unique human expressions. Her most-cited paper, "Quantitative anatomical analysis of facial expression using a 3D motion capture system" (2015, 14 citations), directly informs surgical planning for more natural-looking cosmetic outcomes and enhances the accuracy of facial recognition algorithms. This foundational research bridges the gap between classical anatomy and modern computational modeling, offering a data-driven framework for understanding how subtle muscular variations produce the rich diversity of human facial expressions. Her work is essential reading for surgeons, computer scientists, and anyone interested in the precise mechanics behind our most communicative features.
Research Focus
Key Achievements
Top Papers
- 1