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Τίτλος: On the analysis of factors influencing the performance of facial age progression
Συγγραφείς: Lanitis, Andreas 
Tsapatsoulis, Nicolas 
metadata.dc.contributor.other: Λανίτης, Ανδρέας
Τσαπατσούλης, Νικόλας
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Λέξεις-κλειδιά: Age progression;Facial aging;Performance Evaluation
Ημερομηνία Έκδοσης: 7-Απρ-2016
Πηγή: 4th International Workshop on Biometrics and Forensics, 2016, Limassol, Cyprus
DOI: 10.1109/IWBF.2016.7449697
Περίληψη: 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: https://hdl.handle.net/20.500.14279/9264
ISBN: 978-146739448-2
Rights: © 2016 IEEE.
Type: Conference Papers
Affiliation: Cyprus University of Technology 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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