Multi-fold Gabor filter convolution descriptor for face recognition

Cheng Yaw Low, Beng Jin Teoh, Cong Jie Ng

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

11 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
Volume2016-May
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

Other

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

Fingerprint

Gabor filters
Face recognition
Convolution

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Low, C. Y., Teoh, 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 (Vol. 2016-May, pp. 2094-2098). [7472046] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2016.7472046
Low, Cheng Yaw ; Teoh, Beng Jin ; Ng, Cong Jie. / Multi-fold Gabor filter convolution descriptor for face recognition. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Vol. 2016-May Institute of Electrical and Electronics Engineers Inc., 2016. pp. 2094-2098
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Low, CY, Teoh, BJ & Ng, CJ 2016, Multi-fold Gabor filter convolution descriptor for face recognition. in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. vol. 2016-May, 7472046, Institute of Electrical and Electronics Engineers Inc., pp. 2094-2098, 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, 16/3/20. https://doi.org/10.1109/ICASSP.2016.7472046

Multi-fold Gabor filter convolution descriptor for face recognition. / Low, Cheng Yaw; Teoh, Beng Jin; Ng, Cong Jie.

2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Vol. 2016-May Institute of Electrical and Electronics Engineers Inc., 2016. p. 2094-2098 7472046.

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

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Low CY, Teoh BJ, Ng CJ. Multi-fold Gabor filter convolution descriptor for face recognition. In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Vol. 2016-May. Institute of Electrical and Electronics Engineers Inc. 2016. p. 2094-2098. 7472046 https://doi.org/10.1109/ICASSP.2016.7472046