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Translated title of the contribution: Age estimation using facial expression dynamics

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Abstract

Age estimation from face images traditionally focuses on appearance features. In this paper, we evaluate a number of recently proposed spatio-temporal features for the problem of age estimation from face videos. It is shown that temporal features based on movement dynamics of facial landmarks during a smile expression can improve age estimation over using only appearance-based features.

Translated title of the contributionAge estimation using facial expression dynamics
Original languageTurkish
Title of host publication2013 21st Signal Processing and Communications Applications Conference, SIU 2013
DOIs
Publication statusPublished - 5 Aug 2013
Event2013 21st Signal Processing and Communications Applications Conference, SIU 2013 - Haspolat, Turkey
Duration: 24 Apr 201326 Apr 2013

Conference

Conference2013 21st Signal Processing and Communications Applications Conference, SIU 2013
Country/TerritoryTurkey
CityHaspolat
Period24/04/1326/04/13

Keywords

  • Age estimation
  • Facial expression analysis

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