Guest Editorial Special Issue on Facial Biometrics in the Wild
Facial biometrics is a multidisciplinary field based on the methods and technologies of image analysis and machine learning, as applied to identifying people from facial information, and has progressed for over three decades in terms of theory, algorithms, and applications. While surveillance systems are in common practice and close-range facial recognition at entry points exist, the field has progressed beyond still image recognition in controlled imaging environments. In general, face recognition in the wild connotes recognition from still images and videos, unabated by age, pose, illumination, and expression (A-PIE) of individuals. Yet, we consider this to be only an aspect of facial biometrics in the wild, despite its importance.