A Novel ANN based Approach for Angle Invariant Face Verification
Basabi Chakraborty · 2007
Face recognition and verification under varying pose and illumination is still a challenging problem. In this work, a novel approach for pose invariant face recognition based on artificial neural network under similar illumination condition is proposed. The neural network is trained to learn the face features with variation of pose and interpolate the face features for any unknown pose, leading to a good matching with the probe image. The simple implementation by simulation experiment with HOIP data base shows promising result