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.
|Title of host publication||2015 8th International Conference on Human System Interactions (HSI)|
|Number of pages||6|
|Publication status||Published - 30 Jul 2015|
|Event||Human System Interactions (HSI), 2015, 8th International Conference - Warsaw, United Kingdom|
Duration: 25 Jun 2015 → 27 Oct 2015
|Conference||Human System Interactions (HSI), 2015, 8th International Conference|
|Period||25/06/15 → 27/10/15|