Multi-fold Gabor filter convolution descriptor for face recognition

Cheng Yaw Low, Andrew Beng Jin Teoh, Cong Jie Ng

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

12 Citations (Scopus)

Abstract

The standard multi-scale, multi-orientation Gabor filter ensemble (SGFE) in the face recognition task reposits 40 filters localized in 8 orientations and 5 scales, with a real and an imaginary constituent. This paper devises a simple means of filter diversification, dubbed as multi-fold Gabor filter convolution (-FGFC), where a set of pre-selected filters, e.g., single-scale Gabor filters across varying orientations, are self-cross convolved by folds to instantiate the offspring filters. To facilitate filter selection for-FGFC, this paper summarizes SGFE into the condensed Gabor filter ensemble (CGFE) of only 8 filters. In addition, an average histogram pooling operator is proposed to downsample and regulate the demodulated Gabor phase features prior to the final compression stage. The performance of a specific M-FGFC instance, i.e., the 2-FGFC descriptor, is investigated on FERET I (frontal), FERET II (nonfrontal) and AR datasets. The experimental results on FERET I substantiates that the 2-FGFC descriptor outperforms the leading state of the art face descriptors.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2094-2098
Number of pages5
ISBN (Electronic)9781479999880
DOIs
Publication statusPublished - 2016 May 18
Event41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China
Duration: 2016 Mar 202016 Mar 25

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2016-May
ISSN (Print)1520-6149

Other

Other41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
CountryChina
CityShanghai
Period16/3/2016/3/25

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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    Low, C. Y., Teoh, A. B. J., & Ng, C. J. (2016). Multi-fold Gabor filter convolution descriptor for face recognition. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings (pp. 2094-2098). [7472046] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2016-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2016.7472046