A5055550018- Biometric Identification and Security
- Botulinum Toxin and Related Neurological Disorders
- Facial Rejuvenation and Surgery Techniques
- Craniofacial Disorders and Treatments
- Orthodontics and Dentofacial Orthopedics
- Facial Nerve Paralysis Treatment and Research
- Face recognition and analysis
- Cleft Lip and Palate Research
- Digital Media Forensic Detection
Shanghai Jiao Tong University
2024
Chang Gung University
2010-2012
Chang Gung Memorial Hospital
2012
Linkou Chang Gung Memorial Hospital
2010
Source-free domain adaptation (SFDA) shows the potential to improve generalizability of deep learning-based face anti-spoofing (FAS) while preserving privacy and security sensitive human faces. However, existing SFDA methods are significantly degraded without accessing source data due inability mitigate identity bias in FAS. In this paper, we propose a novel Domain Adaptation framework for FAS (SDA-FAS) that systematically addresses challenges model pre-training, knowledge adaptation, target...
Structured Abstract Objectives To differentiate a symmetric face from an asymmetric by analyzing three‐dimensional (3 D ) facial image and plotting the asymmetry index ( AI on symmetry diagram. Setting Sample Population Sixty healthy C hinese adults (30 men 30 women, mean age: 27.7 + 4.9 years old) without any craniofacial deformity were recruited voluntary basis medical center. Material Methods A 3 of each participant was captured GENEX 3D FACE CAM system. Sixteen landmarks, as defined...