Multi-resolution local appearance-based face verification

Hua Gao, Hazim Kemal Ekenel, Mika Fischer, Rainer Stiefelhagen

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

Abstract

Facial analysis based on local regions / blocks usually outperforms holistic approaches because it is less sensitive to local deformations and occlusions. Moreover, modeling local features enables us to avoid the problem of high dimensionality of feature space. In this paper, we model the local face blocks with Gabor features and project them into a discriminant identity space. The similarity score of a face pair is determined by fusion of the local classifiers. To acquire complementary information in different scales of face images, we integrate the local decisions from various image resolutions. The proposed multi-resolution block based face verification system is evaluated on the experiment 4 of Face Recognition Grand Challenge (FRGC) version 2.0. We obtained 92.5% verification rate @ 0.1% FAR, which is the highest performance reported on this experiment so far in the literature.

Original languageEnglish (US)
Title of host publicationProceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010
Pages1501-1504
Number of pages4
DOIs
StatePublished - 2010
Event2010 20th International Conference on Pattern Recognition, ICPR 2010 - Istanbul, Turkey
Duration: Aug 23 2010Aug 26 2010

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other2010 20th International Conference on Pattern Recognition, ICPR 2010
Country/TerritoryTurkey
CityIstanbul
Period8/23/108/26/10

Keywords

  • Face verification
  • Gabor filter
  • Local appearance representation
  • Multi-resolution

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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