Illumination normalization techniques for makeup-invariant face recognition

Filtering Based Illumination Normalization Techniques for Face Recognition

The main challenge experienced by the present face recognition techniques and smooth filters are the difficulty in managing illumination. The differences in face images that are created by illumination are normally bigger compared to the differences in inter-person that is utilized to differentiate identities. However, face recognition over illumination has more uses in a lot of applications th...

Illumination Invariant Face Recognition

Illumination Invariant Face Recognition

This paper introduces a system in which the face recognition is carried out with the help of the local feature descriptors. As today face recognition is a very active area of research, a system which carries out the robust face recognition is needed to be developed. Face recognition is used in various fields of security and access control, surveillance military etc. here the system is developed...

Illumination Invariant Face Recognition

Face Recognition is a term that includes several sub-problems. Though face recognition have been a grown up research area, however, there still remain many problems that must be overcome to develop a robust face recognition system that works well under various circumstances such as illumination, pose and expressions variations. Such variations have proven to be one of the biggest problems of fa...

Illumination Modeling and Normalization for Face Recognition

In this paper, we present a general framework for face modeling under varying lighting conditions. First, we show that a face lighting subspace can be constructed based on three or more training face images illuminated by non-coplanar lights. The lighting of any face image can be represented as a point in this subspace. Second, we show that the extreme rays, i.e. the boundary of an illumination...