Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/1712
Title: | Convolutional Neural Network for Facial Emotion Recognition With Geometrical Features of Face | Other Titles: | Yüzün geometrik özellikleriyle yüzsel duygu tanıması için evrimşimsel siniş ağları | Authors: | Arslan, İlker | Advisors: | Tuna Çakar | Keywords: | Facial emotion recognition, convolutional neural network, AffectNet. | Publisher: | MEF Üniversitesi Fen Bilimleri Enstitüsü | Source: | Arslan, İ. (2021). Convolutional Neural Network for Facial Emotion Recognition with Geometrical Features of Face. MEF Üniversitesi Fen Bilimleri Enstitüsü, Bilişim Teknolojileri Yüksek Lisans Programı. ss. 1-51 | Abstract: | One of the recent challenging machine learning problems is to make predictions on image datasets. The aim of the project is to construct a convolutional neural network to guess emotions for a face of a human given in an image file considering the face. After the geometrical features are extracted using pretrained models, we construct five models which are convolutional networks fed with handcrafted geometrical features extracted. The last model uses the outputs of other four models to predict more accurately. | URI: | https://hdl.handle.net/20.500.11779/1712 |
Appears in Collections: | FBE, Yüksek Lisans, Proje Koleksiyonu |
Files in This Item:
File | Description | Size | Format | |
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FBE_BilişimTeknolojileri_İlkerArslan.pdf | YL-Proje Dosyası | 3.9 MB | Adobe PDF | View/Open |
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