Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο:
https://hdl.handle.net/20.500.14279/3938
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 |
Αρχεία σε αυτό το τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
---|---|---|---|---|
la.pdf | Open Access | 1.39 MB | Adobe PDF | Δείτε/ Ανοίξτε |
CORE Recommender
SCOPUSTM
Citations
70
checked on 9 Νοε 2023
WEB OF SCIENCETM
Citations
50
48
Last Week
0
0
Last month
1
1
checked on 29 Οκτ 2023
Page view(s)
768
Last Week
0
0
Last month
31
31
checked on 13 Μαρ 2025
Download(s) 5
461
checked on 13 Μαρ 2025
Google ScholarTM
Check
Altmetric
Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα