3D Face Recognition Using Pose and Illumination Compensation
The paper describes a face recognition system using a com-bination of color and depth images. To cope with illumi-nation and pose variations 3D information is used for the normalization of the input images. The proposed pose compensation algorithm is based on a robust 3D face detection and pose estimation technique, while illumination com-pensation exploits depth data to recover the illumination of the scene and relight the image under frontal lighting. When normalized images, depicting upright orientation and frontal lighting, are used for classification significantly high recognition rates are achieved, as established on a face database with more than 2000 images.