Image Alignment in Pose Variations of Human Faces by using Corner Detection Method and its Application for PIFR System

Abstract The Major challenge in the recent face recognition techniques is to deal with pose variations during matching as facial image differences occurs due to motion/rotation in image, which is very large. The Pose Invariant Face Recognition is still an open area for developers to find solution. In this paper focus is on PIFR techniques and combined it with other algorithms for enhancing the results. Here we are using the Harris Corner Detection model along with Image alignment and Image tagging to get front face images. By generalization different tricks to handle the pose on face images has minimized the pose variation. On evaluating performance of the system, we have also calculate the Euler angle and their position change and according to it correct the pose variation. The results are in accordance with the expected lines.