Learning from Essential Facial Parts and Local Features for Automatic Facial Expression Recognition
In: CBMI, 8th International Workshop on Content-Based Multimedia Indexing ; https://hal.science/hal-01381468 ; CBMI, 2010
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Zugriff:
International audience ; In this paper, we develop an automatic facial expression recognition system which establishes relations between facial expressions and the facial parts changes. Here, the differences between neutral and emotional states are used to help locating and identifying the essential facial parts for human expressions. For face description, region-based method to compute LBP features is applied then the most important ones for each expression are selected. As the system combines LBP and Gabor features, it can recognize the facial expressions efficiently. The method is evaluated on JAFFE and Cohen-Kanade database and it performs better and is more stable than other automatic or manual annotated systems.
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Learning from Essential Facial Parts and Local Features for Automatic Facial Expression Recognition
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Autor/in / Beteiligte Person: | Ji, Yi ; Idrissi, Khalid ; Extraction de Caractéristiques et Identification (imagine) ; Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS) ; Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL) ; Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL) ; Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Lumière - Lyon 2 (UL2)-École Centrale de Lyon (ECL) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS) |
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Zeitschrift: | CBMI, 8th International Workshop on Content-Based Multimedia Indexing ; https://hal.science/hal-01381468 ; CBMI, 2010 |
Veröffentlichung: | HAL CCSD ; IEEE, 2010 |
Medientyp: | Konferenz |
DOI: | 10.1109/CBMI.2010.5529888 |
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