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Facial displays description schemas for smiling vs. neutral emotion recognition

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The possibility of correct automatic recognition of emotion is of high importance in many research domains. In this paper the choice of relevant face regions for smile detection is investigated. Firstly, three facial display division schemas are compared. Afterwards, for the most promising, some region masks are suggested. The presented approach differs in feature vector length. The performance of classification between smiling and neutral facial display proved that applying masks, hence shortening the feature vector, does not decrease the accuracy but even improves the result.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - 14th International Conference, ICAISC 2015, Proceedings
EditorsJacek M. Zurada, Lotfi A. Zadeh, Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz
PublisherSpringer Verlag
Pages594-605
Number of pages12
ISBN (Electronic)9783319193236
DOIs
Publication statusPublished - 2015
Event14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015 - Zakopane, Poland
Duration: 14 Jun 2015 → 18 Jun 2015

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume9119
ISSN (Print)0302-9743

Conference

Conference14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015
Country/TerritoryPoland
CityZakopane
Period14/06/15 → 18/06/15

Keywords

  • Classification
  • Local binary patterns
  • Smile detection

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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