Face Verification Across Age Progression

TitleFace Verification Across Age Progression
Publication TypeJournal Articles
Year of Publication2006
AuthorsRamanathan N, Chellappa R
JournalImage Processing, IEEE Transactions on
Pagination3349 - 3361
Date Published2006/11//
ISBN Number1057-7149
Keywordsage, Aging, Bayesian, classification;, classification;face, classifier;age, difference, effects;preprocessing, Face, image, images;error, methods;Bayes, methods;error, progression;age, rate;face, recognition, recognition;image, separated, statistics;face, systems;face, verification;facial

Human faces undergo considerable amounts of variations with aging. While face recognition systems have been proven to be sensitive to factors such as illumination and pose, their sensitivity to facial aging effects is yet to be studied. How does age progression affect the similarity between a pair of face images of an individual? What is the confidence associated with establishing the identity between a pair of age separated face images? In this paper, we develop a Bayesian age difference classifier that classifies face images of individuals based on age differences and performs face verification across age progression. Further, we study the similarity of faces across age progression. Since age separated face images invariably differ in illumination and pose, we propose preprocessing methods for minimizing such variations. Experimental results using a database comprising of pairs of face images that were retrieved from the passports of 465 individuals are presented. The verification system for faces separated by as many as nine years, attains an equal error rate of 8.5%