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Τίτλος: Comparative evaluation of automatic age-progression methodologies
Συγγραφείς: Lanitis, Andreas 
Major Field of Science: Humanities
Field Category: Arts
Λέξεις-κλειδιά: Automatic age-progression;Open access publishing
Ημερομηνία Έκδοσης: 2008
Πηγή: EURASIP Journal on Advances in Signal Processing, 2008, vol. 2008, Article ID 239480
Volume: 2008
Περιοδικό: EURASIP Journal on Applied Signal Processing 
Περίληψη: Automatic age-progression is the process of modifying an image showing the face of a person in order to predict his/her future facial appearance. In this paper, we compare the performance of two age-progression methodologies reported in the literature against two novel approaches to the problem. In particular, we compare the performance of a method based on age prototypes, a method based on aging functions defined in a low-dimensional parametric model space, and two methods based on the distributions of samples belonging to different individuals and different age groups. Quantitative comparative results reported in the paper are based on dedicated performance evaluation metrics that assess the ability of each method to produce accurate predictions of the future/previous facial appearance of subjects. The framework proposed in this paper promotes the idea of a standardized performance evaluation protocol for age-progression methodologies, using images from a publicly available image database.
URI: https://hdl.handle.net/20.500.14279/3938
ISSN: 16876172
DOI: 10.1155/2008/239480
Rights: © Andreas Lanitis. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Type: Article
Affiliation: Cyprus University of Technology 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Άρθρα/Articles

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