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

Major challenge faced by the recent face recognition techniques treat with pose variation during matching. When comparing different person images, the change in facial image caused by motion in the image or due to because of rotation in image is very considerable. Research into Pose Invariant Face Recognition is still an open area in front of developers today. In this paper, we concentrated on PIFR techniques and combined them with other algorithms to achieve better results. Here we are using the Harris Corner Detection model. Image alignment and Image tagging also used to get front face images. We also went into more detail about PIFR and its interrelated operations for future implementation. By generalization different tricks to handle the pose on face images and minimize the pose variation evaluating performance of the system, We are also going to calculate the Euler angle and their position change, and fixing the pose variation based on it for future research,' said the researchers.