FG2015 age progression evaluation

Andreas Lanitis, Nicolas Tsapatsoulis, Kleanthis Soteriou, Daiki Kuwahara, Shigeo Morishima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479960262
DOIs
Publication statusPublished - 2015 Jul 17
Event11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015 - Ljubljana, Slovenia
Duration: 2015 May 42015 May 8

Publication series

Name2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015

Other

Other11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015
CountrySlovenia
CityLjubljana
Period15/5/415/5/8

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'FG2015 age progression evaluation'. Together they form a unique fingerprint.

Cite this