Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/3537
Title: FG2015 age progression evaluation
Authors: Tsapatsoulis, Nicolas 
Soteriou, Kleanthis 
Kuwahara, Daiki 
Morishima, Shigeo 
Lanitis, Andreas 
metadata.dc.contributor.other: Τσαπατσούλης, Νικόλας
Λανίτης, Ανδρέας
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Keywords: Face-aging;Age progression algorithms
Issue Date: 2015
Source: 11th IEEE International Conference on Automatic Face and Gesture Recognition, 2015, Ljubljana, Slovenia, 4-8 May
Abstract: The topic of face-aging received increased attention by the computer vision community during the recent years. This interest is motivated by important real life applications where accurate age progression algorithms can be used. However, age progression methodologies may only be used in real applications provided that they have the ability to produce accurate age progressed images. Therefore it is of utmost importance to encourage the development of accurate age progression algorithms through the formulation of performance evaluation protocols that can be used for obtaining accurate performance evaluation results for different algorithms reported in the literature. In this paper we describe the organization of the, first ever, pilot independent age progression competition that aims to provide the basis of a robust framework for assessing age progression methodologies. The evaluation carried out involves the use of several machine-based and human-based indicators that were used for assessing eight age progression methods.
URI: https://hdl.handle.net/20.500.14279/3537
Type: Conference Papers
Affiliation : Waseda University 
Cyprus University of Technology 
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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