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Micro-expression recognition based on LBP-TOP features
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2017 (English)In: Nanjing Youdian Daxue Xuebao (Ziran Kexue Ban)/Journal of Nanjing University of Posts and Telecommunications (Natural Science), Vol. 37, no 6, p. 1-7Article in journal (Refereed) Published
Abstract [en]

Micro-expressions are involuntary facial expressions revealing true feelings when a person tries to conceal facial expressions.Compared with normal facial expressions,the most significant characteristic of micro-expressions is their short duration and weak intensity,thus it is diffcult to be recognized.In this paper,a micro-expression recognition method based on local binary pattern from three orthogonal plane(LBP-TOP) features and support vector machine (SVM)-based classifier is proposed.Firstly,the LBP-TOP operators are used to extract micro-expression features.Then,the feature selection algorithm combining the ReliefF with manifold learning algorithm based on locally linear embedding (LLE) is proposed to reduce the dimensionality of extracted LBP-TOP feature vectors.Finally,the SVM-based classifier with radial basis function (RBF) kernel is used to classify test samples into five categories of micro-expressions:happiness,disgust,repression,surprise,and others.Experiments are carried out on the micro-expression database CASME II using leave-one-subject-out cross validation (LOSO-CV) method.The classification accuracy can reach 58.98%.Experimental results show the effectiveness of the proposed method. 

Place, publisher, year, edition, pages
Journal of Nanjing Institute of Posts and Telecommunications , 2017. Vol. 37, no 6, p. 1-7
Keywords [en]
Local binary pattern from three orthogonal plane(LBP-TOP), Locally linear embedding(LLE), Micro-expression, ReliefF, Support vector machine(SVM)
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:kth:diva-246578DOI: 10.14132/j.cnki.1673-5439.2017.06.001Scopus ID: 2-s2.0-85055414384OAI: oai:DiVA.org:kth-246578DiVA, id: diva2:1319754
Note

QC 20190603

Available from: 2019-06-03 Created: 2019-06-03 Last updated: 2019-06-03Bibliographically approved

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Li, Haibo

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf