Facial Region

Facial region research focuses on improving the accuracy and robustness of automated systems that analyze facial images, primarily for recognition and expression analysis. Current research emphasizes mitigating biases in facial recognition systems, particularly concerning ethnicity, and enhancing the security of these systems against adversarial attacks. This involves developing advanced models like generative adversarial networks (GANs) for data augmentation and improving feature extraction through techniques such as attention mechanisms and hierarchical networks, often applied within lightweight architectures for efficient processing. The impact of this research spans improved security and fairness in applications like border control and law enforcement, as well as advancements in human-computer interaction and affective computing.