Automated 3D face authentication & recognition

M. Bae, A. Razdan, G. E. Farin

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

5 Scopus citations

Abstract

This paper presents a fully automated 3D face authentication (verification) and recognition (identification) method and recent results from our work in this area. The major contributions of our paper are: (a) the method can handle data with different facial expressions including hair, upper body, clothing, etc. and (b) development of weighted features for discrimination. The input to our system is a triangular mesh and it outputs a matching % against a gallery. Our method includes both surface and curve based features that are automatically extracted from a given face data. The test set for authentication consisted of 117 different people with 421 scans including different facial expressions. Our study shows Equal Error Rate (EER) at 0.065% for normal faces and 1.13% in faces with expressions. We report verification rates of 100% in normal faces and 93.12% in faces with expressions at 0.1 % FAR. For identification, our experiment shows 100% rate in normal faces and 95.6% in faces with expressions. From our experiment we conclude that combining feature points, profile curve, and partial face surface matching gives better authentication and recognition rate than any single matching method.

Original languageEnglish (US)
Title of host publication2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings
Pages45-50
Number of pages6
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 - London, United Kingdom
Duration: Sep 5 2007Sep 7 2007

Publication series

Name2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings

Other

Other2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007
CountryUnited Kingdom
CityLondon
Period9/5/079/7/07

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

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  • Cite this

    Bae, M., Razdan, A., & Farin, G. E. (2007). Automated 3D face authentication & recognition. In 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings (pp. 45-50). [4425284] (2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings). https://doi.org/10.1109/AVSS.2007.4425284