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|Title:||On the analysis of factors influencing the performance of facial age progression||Authors:||Lanitis, Andreas
|Issue Date:||7-Apr-2016||Publisher:||Institute of Electrical and Electronics Engineers Inc.||Source:||4th International Workshop on Biometrics and Forensics, 2016, Limassol, Cyprus||Abstract:||Facial age progression is the process of synthesizing a face image at an older age based on images showing a person at a younger age. The ability to generate accurate age progressed face images is important for a number of forensic investigation tasks. In this paper we analyze the performance of a number of publicly available age progression applications, with respect to different parameters encountered in age progression including imaging conditions of input images, presence of occluding structures, age of input/target faces, and age progression range. Through the analysis and quantification of age progression accuracy in the presence of different conditions, we extract a number of conclusions that take the form of a set of guidelines related to factors that forensic artists and age progression researchers should focus their attention in order to produce improved age progression methodologies.||URI:||http://ktisis.cut.ac.cy/handle/10488/9264||ISBN:||978-146739448-2||Rights:||© 2016 IEEE.|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
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