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- W2189494521 abstract "In this work, we compare two different geometric feature extraction methods derived from coordinates of facial points tracked by Active Appearance Models. The compared feature extraction methods differ in their use of coordinates or distances between facial points and whether they use the information of a neutral facial expression. Experiments on the extended Cohn-Kanade database show that the coordinate-based features using the neutral frame information gives the best emotion recognition results (%94) using a SVC classifier with a polynomial kernel." @default.
- W2189494521 created "2016-06-24" @default.
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- W2189494521 date "2011-01-01" @default.
- W2189494521 modified "2023-09-24" @default.
- W2189494521 title "DUYGU TANIMA İÇİN GEOMETRİK YÜZ ÖZNİTELİKLERİNİN KARŞILAŞTIRILMASI A COMPARISON OF GEOMETRICAL FACIAL FEATURES FOR AFFECT RECOGNITION" @default.
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