Face recognition with local feature patterns and histogram spatially bonstrained earth mover's distance

Wei Zhou, Alireza Ahrary, Sei Ichiro Kamata

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

3 Citations (Scopus)

Abstract

In this work, two novel local feature patterns-Modified Local Binary patterns (MLBP) and local Ternary patterns (LIP), are proposed for extract features in the facial image, which use some distinct rule to code the values in a label, respectively. These patterns are more invariant to illuminance and face expression compared to traditional one. After getting the local feature patterns, in order to take alignment of face into account, a novel matching method called Histogram Spatially constrained Earth Mover's Distance(HSEMD) is proposed. In this step, the source image is partitioned into non-overlapping local regions while the destination image is represented as a set of overlapping local regions at different positions. Meanwhile, multi-scale cascade mechanism is studied for extracting more feature patterns and obtaining global information of the face.The performance of the proposed method is assessed in the face recognition problem under different challenges. The experimental results show that the proposed method has higher accuracy than some other classic methods.

Original languageEnglish
Title of host publicationICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
Pages374-379
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 - Kuala Lumpur, Malaysia
Duration: 2009 Nov 182009 Nov 19

Publication series

NameICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings

Conference

Conference2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09
CountryMalaysia
CityKuala Lumpur
Period09/11/1809/11/19

Keywords

  • Face recognition
  • Feature extraction
  • HSEMD
  • LTP
  • Local Feature Patterns
  • MLBP

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Zhou, W., Ahrary, A., & Kamata, S. I. (2009). Face recognition with local feature patterns and histogram spatially bonstrained earth mover's distance. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings (pp. 374-379). [5478680] (ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings). https://doi.org/10.1109/ICSIPA.2009.5478680