Discriminating projections for estimating face age in wild images

Ryan Tokola, David Bolme, Christopher Boehnen, Del Barstow, Karl Ricanek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Despite the fundamental variability of human appearance, the last several years have seen considerable advances in age estimation from images of faces. Many of these advances have been made possible by artificially removing external sources of variability - they focus on highly constrained images from datasets such as the MORPH face database and FG-NET. We introduce a novel approach to estimating age from a single 'wild' image, where pose, illumination, expression, face size, and face occlusions are not managed. Our method is able to reduce the effects of variations that already exist within in image. Using pose-specific projections, we map image features into a latent space that is pose-insensitive and age-discriminative. Age estimation is then performed using a multi-class SVM. We show that our approach outperforms other published results on the Images of Groups dataset [9], which is the only age-related dataset with a non-trivial number of off-axis 'wild' face images. We also show results that are competitive with recent age estimation algorithms on the mostly-frontal FG-NET dataset, and we experimentally demonstrate that our feature projections introduce insensitivity to pose.

Original languageEnglish
Title of host publicationIJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479935840
DOIs
StatePublished - Dec 23 2014
Event2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014 - Clearwater, United States
Duration: Sep 29 2014Oct 2 2014

Publication series

NameIJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics

Conference

Conference2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014
Country/TerritoryUnited States
CityClearwater
Period09/29/1410/2/14

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