Illumination variation that occurs on face images degrades the performance of face recognition. In this paper, we propose a novel approach to handling illumination variation for f...
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Recently, psychological studies showed that averaging human face images greatly improves the performance of face recognition under various pose, illumination, expression, and/or a...
Abstract. Perceptual user interfaces are becoming important nowadays, because they offer a more natural interaction with the computer via speech recognition, haptics, computer visi...
Cristina Manresa-Yee, Xavier Varona, Francisco J. ...
Researchers have been working on human face recognition for decades. Face recognition is hard due to different types of variations in face images, such as pose, illumination and e...