3D face analysis for demographic biometrics

Ryan Tokola, Aravind Mikkilineni, Christopher Boehnen

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

10 Scopus citations

Abstract

Despite being increasingly easy to acquire, 3D data is rarely used for face-based biometrics applications beyond identification. Recent work in image-based demographic biometrics has enjoyed much success, but these approaches suffer from the well-known limitations of 2D representations, particularly variations in illumination, texture, and pose, as well as a fundamental inability to describe 3D shape. This paper shows that simple 3D shape features in a face-based coordinate system are capable of representing many biometric attributes without problem-specific models or specialized domain knowledge. The same feature vector achieves impressive results for problems as diverse as age estimation, gender classification, and race classification.

Original languageEnglish
Title of host publicationProceedings of 2015 International Conference on Biometrics, ICB 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages201-207
Number of pages7
ISBN (Electronic)9781479978243
DOIs
StatePublished - Jun 29 2015
Externally publishedYes
Event8th IAPR International Conference on Biometrics, ICB 2015 - Phuket, Thailand
Duration: May 19 2015May 22 2015

Publication series

NameProceedings of 2015 International Conference on Biometrics, ICB 2015

Conference

Conference8th IAPR International Conference on Biometrics, ICB 2015
Country/TerritoryThailand
CityPhuket
Period05/19/1505/22/15

Fingerprint

Dive into the research topics of '3D face analysis for demographic biometrics'. Together they form a unique fingerprint.

Cite this