Face recognition with illumination, pose and expression variations using SIFT method
Wei Ge, Lijuan Cai, Weida Zhan · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
Prior research has shown that under the illumination controlled and user cooperative conditions, nearly all of face recognition method perform very well, but when it comes to the variant illumination, pose and expression (PIE) conditions, the performance of these methods degrade seriously.Face recognition in variant PIE conditions is one of the most challenging problem in this field.In this paper, a method based on SIFT features is used to research on face recognition in variable PIE conditions.Three professional PIE-variable face database are used to experiment the performance of SIFT method.The experiment results show the huge potential of SIFT method in application to face recognition in variable PIE conditions.