Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/3457
Title: An overview of research on facial aging using the FG-NET aging database
Authors: Panis, Gabriel 
Lanitis, Andreas 
metadata.dc.contributor.other: Λανίτης, Ανδρέας
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Keywords: Aging databases;Facial age estimation;FG-NET aging database
Issue Date: 2015
Source: 13th European Conference on Computer Vision, ECCV 2014; Zurich; Switzerland; 6 September 2014 through 12 September 2014
Conference: European Conference on Computer Vision 
Abstract: The FG-NET aging database was released in 2004 in an attempt to support research activities related to facial aging. Since then a number of researchers used the database for carrying out research in various disciplines related to facial aging. Based on the analysis of published work where the FG-NET aging database was used, conclusions related to the type of research carried out in relation to the impact of the dataset in shaping up the research topic of facial aging, are presented. In particular we focus our attention on the topic of age estimation that proved to be the most popular among users of the FG-NET aging database. Through the review of key papers in age estimation and the presentation of benchmark results the main approaches/directions in facial aging are outlined and future trends, requirements and research directions are drafted.
Description: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 8926, 2015, Pages 737-750
ISBN: 978-331916180-8
DOI: 10.1007/978-3-319-16181-5_56
Rights: © Springer International Publishing Switzerland 2015.
Type: Conference Papers
Affiliation : University of Manchester 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

Files in This Item:
File Description SizeFormat
lanitis.pdf285.05 kBAdobe PDFView/Open
CORE Recommender
Show full item record

SCOPUSTM   
Citations

49
checked on Nov 6, 2023

Page view(s)

684
Last Week
1
Last month
10
checked on Nov 21, 2024

Download(s)

349
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.