Pose and Illumination Invariant 3D Face Recognition
The need for an accurate, easily trainable recognition system has become more pressing these days. Current systems have advanced to be fairly accurate in recognition under constrained scenarios, but extrinsic imaging parameters such as pose, illumination, and facial expression are still causing much difficulty in correct recognition. The clearest trend noted by many vendors on the field of face recognition is the emergence of 3D technology. The goal of any face recognition algorithm is to separate the characteristics of a face, which are determined by the intrinsic shape and texture of the facial surface, from the random conditions of image generation. This can be achieved by using 3D face modeling techniques. A deformable 3D face modeling approach, which is able to produce accurate and realistic 3D shape models from 2D images for robust face recognition, is considered for further research and to increase the performance of the existing recognition system to 100 % accuracy. The face recognition system under development is invariant to both illumination and pose.
