Monogenic Riesz wavelet representation for micro-expression recognition

Yee Hui Oh, Anh Cat Le Ngo, John See, Sze Teng Liong, Raphael C.W. Phan, Huo Chong Ling

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

38 Citations (Scopus)

Abstract

A monogenic signal is a two-dimensional analytical signal that provides the local information of magnitude, phase, and orientation. While it has been applied on the field of face and expression recognition [1], [2], [3], there are no known usages for subtle facial micro-expressions. In this paper, we propose a feature representation method which succinctly captures these three low-level components at multiple scales. Riesz wavelet transform is employed to obtain multi-scale monogenic wavelets, which are formulated by quaternion representation. Instead of summing up the multi-scale monogenic representations, we consider all monogenic representations across multiple scales as individual features. For classification, two schemes were applied to integrate these multiple feature representations: a fusion-based method which combines the features efficiently and discriminately using the ultra-fast, optimized Multiple Kernel Learning (UFO-MKL) algorithm; and concatenation-based method where the features are combined into a single feature vector and classified by a linear SVM. Experiments carried out on a recent spontaneous micro-expression database demonstrated the capability of the proposed method in outperforming the state-of-the-art monogenic signal approach to solving the micro-expression recognition problem.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Digital Signal Processing, DSP 2015
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1237-1241
Number of pages5
ISBN (Electronic)9781479980581, 9781479980581
DOIs
Publication statusPublished - 9 Sep 2015
Externally publishedYes
EventInternational Conference on Digital Signal Processing (DSP) 2015 - Singapore, Singapore
Duration: 21 Jul 201524 Jul 2015
Conference number: 20th
https://ieeexplore.ieee.org/xpl/conhome/7227493/proceeding (Proceedings)

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2015-September

Conference

ConferenceInternational Conference on Digital Signal Processing (DSP) 2015
Abbreviated titleDSP 2015
CountrySingapore
CitySingapore
Period21/07/1524/07/15
Internet address

Keywords

  • facial micro-expressions
  • Monogenic signal
  • quaternion representation
  • Riesz wavelet transform
  • UFO-MKL

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