Real-Time age estimation from face imagery using fisher vectors

Abstract

In the last decade facial age estimation has grown its importance in computer vision. In this paper we propose an efficient and effective age estimation system from face imagery. To assess the quality of the proposed approach we compare the results obtained by our system with those achieved by other recently published methods on a very large dataset of more than 55K images of people with different gender and ethnicity. These results show how a carefully engineered pipeline of efficient image analysis and pattern recognition techniques leads to stateof- the-art results at 20FPS using a single thread on a 1.6GHZ i5-2467M processor.