Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Illumination, pose variations, disguises, aging effects and expression variations are some of the key factors that affect the performance of face recognition systems. Face recogni...
Narayanan Ramanathan, Rama Chellappa, Amit K. Roy ...
Abstract. In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applica...
Illumination induced appearance changes represent one of the open challenges in automated face recognition systems still significantly influencing their performance. Several tec...
Vitomir Struc, Bostjan Vesnicer, France Mihelic, N...
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...