2D-3D FACIAL EXPRESSION RECOGNITION BU GRAPH FORMING / (Kayıt no. 290043)
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| 000 -BAŞLIK | |
|---|---|
| Sabit Uzunluktaki Kontrol Alanı | 02835nam a22002897a 4500 |
| 003 - KONTROL NUMARASI KİMLİĞİ | |
| Kontrol Alanı | KOHA |
| 005 - EN SON İŞLEM TARİHİ ve ZAMANI | |
| Kontrol Alanı | 20230418085925.0 |
| 008 - SABİT UZUNLUKTAKİ VERİ ÖGELERİ - GENEL BİLGİ | |
| Sabit Alan | 230323d2023 cy ||||| m||| 00| 0 eng d |
| 040 ## - KATALOGLAMA KAYNAĞI | |
| Özgün Kataloglama Kurumu | CY-NiCIU |
| Kataloglama Dili | eng |
| Çeviri Kurumu | CY-NiCIU |
| Açıklama Kuralları | rda |
| 041 ## - DİL KODU | |
| Metin ya da ses kaydının dil kodu | eng |
| 090 ## - Yerel Tasnif No | |
| tasnif no | YL 2835 |
| Cutter no | A44 2023 |
| 100 1# - KİŞİ ADI | |
| Yazar Adı (Kişi adı) | Akhgar, Mahsa |
| 245 10 - ESER ADI BİLDİRİMİ | |
| Başlık | 2D-3D FACIAL EXPRESSION RECOGNITION BU GRAPH FORMING / |
| Sorumluluk Bildirimi | MAHSA AKHGAR; SUPERVISOR: Asst. Prof. Dr. PAYAM ZARBAKHSH |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2023 |
| 300 ## - FİZİKSEL TANIMLAMA | |
| Sayfa, Cilt vb. | xi, 84 sheets: |
| Diğer fiziki detaylar | photos; |
| Boyutları | 31 cm. |
| Birlikteki Materyal | Includes CD |
| 336 ## - CONTENT TYPE | |
| Source | rdacontent |
| Content type term | text |
| Content type code | txt |
| 337 ## - MEDIA TYPE | |
| Source | rdamedia |
| Media type term | unmediated |
| Media type code | n |
| 338 ## - CARRIER TYPE | |
| Source | rdacarrier |
| Carrier type term | volume |
| Carrier type code | nc |
| 502 ## - TEZ NOTU | |
| Tez Notu | Thesis (MSc) - Cyprus International Univesity. Institute of Graduate Studies and Research Electrical and Electronics Engineering |
| 504 ## - BİBLİYOGRAFİ NOTU | |
| Bibliyografi Notu | Includes bibliography (sheets 77-84) |
| 520 ## - ÖZET NOTU | |
| Özet notu | ABSTRACT<br/>The need for biometric data analysis is an integral part of today’s digital world. With <br/>advances in data registration and machine learning techniques, developing image <br/>processing technologies such as identity recognition and facial expression detection <br/>has attracted a significant intersect among the research and tech community. Emotion <br/>detection from facial images has many applications ranging from surveillance and <br/>security to psychology and marketing. These systems, however, are prone to errors due <br/>to variable factors such as brightness intensity or changes in facial tissue. In this study, <br/>a novel graph forming method based on invariable points of human face is proposed. <br/>These points are called invariable because they are robust to the changes in brightness <br/>and texture. Emotions are manifested in the proposed graph-based features extracted <br/>from 2D and 3D images. On top of the feature extraction component, we also assessed <br/>the effect of applying a feature selection method based on minimum redundancy and <br/>maximum relevance. Three well-known classifiers namely SVM, Random Forest (RF) <br/>and kNN are used to detect the labels. The results confirm the effectiveness of the <br/>feature selection stage. Moreover, the findings imply that graph-based features from <br/>3D images result in a better performance. When comparing the classifiers, SVM is the <br/>winner followed by the RF. The best results are achieved when graph-based features <br/>from 2D and 3D images are concatenated. In overall, the recognition rate of the <br/>proposed method is superior to the state of the art.<br/>Keywords: 2D+3D Images; Facial Expression Recognition Geometric; Facial <br/>Features; kNN Classifier; RF Method; SVM classifier. |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
| Konusal terim veya coğrafi ad | Facial expression |
| Alt başlık biçimi | Dissertations, Academic |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
| Konusal terim veya coğrafi ad | Three-dimensional imaging |
| Alt başlık biçimi | Dissertations, Academic |
| 700 1# - EK GİRİŞ - KİŞİ ADI | |
| Yazar Adı (Kişi adı) | Zarbakhsh, Payam |
| İlişkili Terim | supervisor |
| 942 ## - EK GİRİŞ ÖGELERİ (KOHA) | |
| Sınıflama Kaynağı | Dewey Onlu Sınıflama Sistemi |
| Materyal Türü | Thesis |
| Geri Çekilme Durumu | Kayıp Durumu | Sınıflandırma Kaynağı | Kredi için değil | Koleksiyon Kodu | Kalıcı Konum | Mevcut Konum | Raf Yeri | Kayıt Tarih | Source of acquisition | Yer Numarası | Demirbaş Numarası | Son Görülme Tarihi | Fatura Tarihi | Materyal Türü | Genel / Bağış Notu |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Onlu Sınıflama Sistemi | Tez Koleksiyonu | CIU LIBRARY | CIU LIBRARY | Tez Koleksiyonu | 23.03.2023 | Bağış | YL 2835 A44 2023 | T3174 | 23.03.2023 | 23.03.2023 | Thesis | Electrical and Electronics Engineering | |||
| Dewey Onlu Sınıflama Sistemi | CIU LIBRARY | CIU LIBRARY | Görsel İşitsel | 23.03.2023 | Bağış | YL 2835 A44 2023 | CDT3174 | 23.03.2023 | 23.03.2023 | Suppl. CD | Electrical and Electronics Engineering |