Robust Face Image Matching under Illumination Variations

Robust Face Image Matching under Illumination Variations

Face image matching is an essential step for face recognition and face verification. It is difficult to achieve robust face matching under various image acquisition conditions. In this paper, a novel face image matching algorithm robust against illumination variations is proposed. The proposed image matching algorithm is motivated by the characteristics of high image gradient along the face con...

Image-based face recognition under illumination and pose variations.

We present an image-based method for face recognition across different illuminations and poses, where the term image-based means that no explicit prior three-dimensional models are needed. As face recognition under illumination and pose variations involves three factors, namely, identity, illumination, and pose, generalizations in all these three factors are desired. We present a recognition ap...

Robust Face Recognition Technique under Varying Illumination

Face recognition is one of a complex biometrics in the field of pattern recognition due to the constraints imposed by variation in the appearance of facial images. These changes in appearance are affected by variation in illumination, expression or occlusions etc. Illumination can be considered a complex problem in both indoor and outdoor pattern matching. Literature studies have revealed that ...

Robust Face Recognition under various illumination conditions

Robust Face Recognition Methods under Illumination Variations toward Hardware Implementation on 3DCSS

1. Introduction In order to realize highly intelligent information processing systems which can recognize various objects in real-time/real-world, we have been proposed a concept of multi-object recognition system based on 3D custom stack system (3DCSS) presented in the 21st century COE of Hiroshima University [1]. Recently, we have developed a real time human face detection/recognition softwar...