Skip to main navigation Skip to search Skip to main content

Dynamic facial expression recognition using local patch and LBP-TOP

  • University of Portsmouth

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

Abstract

Local binary pattern on three orthogonal planes (LBP-TOP) is one of the most popular method for dynamic texture analysis and has been successfully applied to facial expression analysis. Yet an effective LBP-TOP operator highly relies on preprocessing. And, like many appearance-based approaches, this approach reserves more identity-related cues rather than expression. In this work, we propose a fully automatic approach for facial expression recognition based on points registration, localized patch extraction and LBP-TOP feature representation. The efficiency of this method is evaluated on CK+ database. Results show that the proposed method has achieved a better performance compared with existing methods.

Original languageEnglish
Title of host publicationProceedings - 2015 8th International Conference on Human System Interaction, HSI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages362-367
Number of pages6
ISBN (Electronic)9781467369367
DOIs
StatePublished - 28 Jul 2015
Externally publishedYes
Event8th International Conference on Human System Interaction, HSI 2015 - Warsaw, Poland
Duration: 25 Jun 201527 Jun 2015

Publication series

NameProceedings - 2015 8th International Conference on Human System Interaction, HSI 2015

Conference

Conference8th International Conference on Human System Interaction, HSI 2015
Country/TerritoryPoland
CityWarsaw
Period25/06/1527/06/15

Fingerprint

Dive into the research topics of 'Dynamic facial expression recognition using local patch and LBP-TOP'. Together they form a unique fingerprint.

Cite this