Dynamic facial expression recognition using local patch and LBP-TOP

Yiming Wang, Hui Yu, Brett Stevens, Honghai Liu

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

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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 publication2015 8th International Conference on Human System Interactions (HSI)
Number of pages6
Publication statusPublished - 30 Jul 2015
EventHuman System Interactions (HSI), 2015, 8th International Conference - Warsaw, United Kingdom
Duration: 25 Jun 201527 Oct 2015


ConferenceHuman System Interactions (HSI), 2015, 8th International Conference
Country/TerritoryUnited Kingdom


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