Enhancing face recognition by image warping

University of Glasgow Department of Electronics and Electrical Engineering Bachelor of Engineering by Jorge Garcia Bueno This project has been developed as an improvement which could be added to the actual computer vision algorithms. It is based on the original idea proposed and published by Rob Jenkins and Mike Burton about the power of the face averages in artificial recognition. The present project aims to create a new automated procedure applied for face recognition working with average images. Up to now, this algorithm has been used manually. With this study, the averaging and warping process will be done by a computer automatically saving large amounts of time. Through a clear user interface, the program that has been developed will receive a batch of face images of a person and will create an average picture of them deforming each one of them based on . Some settings (colours, size, etcetera ...) might be edited before any average is created and some options will be offered after the job is done to facilitate the addition of them to a face database. Is is demonstrated in previous studies that the average picture generated contains most of the information of the group of original faces and therefore, a system would recognise this person easily than with any single image. After the development of the software, a computational study will be done to locate the quality in terms of accuracy and speed of this solution. The program will be asked to learn a batch of faces of a group of people and afterwards it will be tested and compared with actual works to demonstrate if the algorithm is at the same level of quality.