Profile-based face recognition

I. A. Kakadiaris, H. Abdelmunim, W. Yang, T. Theoharis

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

15 Scopus citations

Abstract

In this paper, we introduce a new system for profilebased face recognition. The specific scenario involves a driver entering a gated area and using his/her sideview image (the driver remains seated in the vehicle) as identification. The system has two modes: enrollment and identification. In the enrollment mode, 3D face models of subjects are acquired and profiles extracted under different poses and stored to form a gallery database. In the identification mode, 2D images are acquired and the corresponding planar profiles are extracted and used as probes. Then, probes are matched to the gallery profiles to determine identity. The matching is accomplished using implicit shape registration via the vector distance functions. In our experiments, the approach using implicit registration exhibited higher accuracy than the iterative closest point methodology due to the use of more general transformations. The performance of our system is illustrated using a variety of databases.

Original languageEnglish (US)
Title of host publication2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
DOIs
StatePublished - 2008
Event2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 - Amsterdam, Netherlands
Duration: Sep 17 2008Sep 19 2008

Publication series

Name2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

Conference

Conference2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
Country/TerritoryNetherlands
CityAmsterdam
Period9/17/089/19/08

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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