Determining discriminative anatomical point pairings using adaboost for 3D face recognition

Steven Cadavid, Jindan Zhou, Mohamed Abdel-Mottaleb

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

3 Citations (Scopus)

Abstract

In this paper, we present a novel method for 3D face recognition using adaboosted geodesic distance features. Firstly, a generic model is finely conformed to each face model contained within a 3D face dataset. Secondly, the geodesic distance between anatomical point pairs are computed across each conformed generic model. Adaboost then generates a strong-classifier based on a collection of geodesic distances that are most discriminative for face recognition. Experiments conducted on the Face Recognition Grand Challenge (FRGC) database D collection indicate that the system can achieve over a 95% rank-one recognition rate.

Original languageEnglish
Title of host publicationProceedings - International Conference on Image Processing, ICIP
PublisherIEEE Computer Society
Pages49-52
Number of pages4
ISBN (Print)9781424456543
DOIs
StatePublished - Jan 1 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: Nov 7 2009Nov 10 2009

Other

Other2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period11/7/0911/10/09

Fingerprint

Adaptive boosting
Face recognition
Classifiers
Experiments

Keywords

  • 3D face recognition
  • 3D registration
  • Adaboost
  • Biometrics
  • Geodesic distance

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Cadavid, S., Zhou, J., & Abdel-Mottaleb, M. (2009). Determining discriminative anatomical point pairings using adaboost for 3D face recognition. In Proceedings - International Conference on Image Processing, ICIP (pp. 49-52). [5413995] IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5413995

Determining discriminative anatomical point pairings using adaboost for 3D face recognition. / Cadavid, Steven; Zhou, Jindan; Abdel-Mottaleb, Mohamed.

Proceedings - International Conference on Image Processing, ICIP. IEEE Computer Society, 2009. p. 49-52 5413995.

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

Cadavid, S, Zhou, J & Abdel-Mottaleb, M 2009, Determining discriminative anatomical point pairings using adaboost for 3D face recognition. in Proceedings - International Conference on Image Processing, ICIP., 5413995, IEEE Computer Society, pp. 49-52, 2009 IEEE International Conference on Image Processing, ICIP 2009, Cairo, Egypt, 11/7/09. https://doi.org/10.1109/ICIP.2009.5413995
Cadavid S, Zhou J, Abdel-Mottaleb M. Determining discriminative anatomical point pairings using adaboost for 3D face recognition. In Proceedings - International Conference on Image Processing, ICIP. IEEE Computer Society. 2009. p. 49-52. 5413995 https://doi.org/10.1109/ICIP.2009.5413995
Cadavid, Steven ; Zhou, Jindan ; Abdel-Mottaleb, Mohamed. / Determining discriminative anatomical point pairings using adaboost for 3D face recognition. Proceedings - International Conference on Image Processing, ICIP. IEEE Computer Society, 2009. pp. 49-52
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