Echelon Based Pose Generalization of Facial Images Approaches

Abstract

Face recognition having many applications applied different in security, using in access control, applied on gaming, also effect by aging effect, health issues, and internet communication and so on. It has been perform on different images either they are stored in database or a new image is captured and take it as input image. Face recognition algorithms having different fields of application. The intelligent image (face) recognition system consists of various components through which human identification and recognition has been done. In real world practical applications unconstrained conditions like illumination and create variations, occlusion and expressions are to be faced by the users. in this paper discuss about the pose invariant technology also study the challenges during face recognition under unconstrained conditions like illumination and cause variations, basically it proposes several possible pose invariant technologies future directions which is excluded from the challenges used.