Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi

Caner Gacav; Burak Benligiray; Cihan Topal

doi:10.1109/SIU.2016.7496031

Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi

Caner Gacav, Burak Benligiray, Cihan Topal

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

9 Atıf (Scopus)

Özet

Facial expression recognition is an important computer vision problem with various applications. In this study, we investigate the effectiveness of features derived from facial landmarks in facial expression recognition. Distances between two combinations of facial landmarks constitute a distance vector. Features we use are the changes in the distance vectors extracted from expressive and neutral states of the face. The obtained feature vector contains elements that are relatively useless in expression recognition. By applying forward sequential feature selection, a subset of the most effective elements is formed. The chosen features are classified using a multi-class support vector machine. The performance of the proposed method is measured using Extended Cohn-Kanade dataset with seven expressions (anger, contempt, disgust, fear, happy, sad and surprised) and resulted in 89.9% mean class recognition accuracy.

Tercüme edilen katkı başlığı	Sequential forward feature selection for facial expression recognition
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1481-1484
Sayfa sayısı	4
ISBN (Elektronik)	9781509016792
DOI'lar	https://doi.org/10.1109/SIU.2016.7496031
Yayın durumu	Yayınlandı - 20 Haz 2016
Harici olarak yayınlandı	Evet
Etkinlik	24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Turkey Süre: 16 May 2016 → 19 May 2016

Yayın serisi

Adı	2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	24th Signal Processing and Communication Application Conference, SIU 2016
Ülke/Bölge	Turkey
Şehir	Zonguldak
Periyot	16/05/16 → 19/05/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

Keywords

Cohn-Kanade dataset
facial expression recognition
feature selection
forward sequential feature selection
support vector machines

Belgeye Erişim

10.1109/SIU.2016.7496031

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Gacav, C., Benligiray, B., & Topal, C. (2016). Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings (pp. 1481-1484). Makale 7496031 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2016.7496031

Gacav, Caner ; Benligiray, Burak ; Topal, Cihan. / Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi. 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1481-1484 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

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abstract = "Facial expression recognition is an important computer vision problem with various applications. In this study, we investigate the effectiveness of features derived from facial landmarks in facial expression recognition. Distances between two combinations of facial landmarks constitute a distance vector. Features we use are the changes in the distance vectors extracted from expressive and neutral states of the face. The obtained feature vector contains elements that are relatively useless in expression recognition. By applying forward sequential feature selection, a subset of the most effective elements is formed. The chosen features are classified using a multi-class support vector machine. The performance of the proposed method is measured using Extended Cohn-Kanade dataset with seven expressions (anger, contempt, disgust, fear, happy, sad and surprised) and resulted in 89.9% mean class recognition accuracy.",

keywords = "Cohn-Kanade dataset, facial expression recognition, feature selection, forward sequential feature selection, support vector machines",

author = "Caner Gacav and Burak Benligiray and Cihan Topal",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th Signal Processing and Communication Application Conference, SIU 2016 ; Conference date: 16-05-2016 Through 19-05-2016",

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Gacav, C, Benligiray, B & Topal, C 2016, Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi. in 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings., 7496031, 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1481-1484, 24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Turkey, 16/05/16. https://doi.org/10.1109/SIU.2016.7496031

Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi. / Gacav, Caner; Benligiray, Burak; Topal, Cihan.
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1481-1484 7496031 (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi

AU - Gacav, Caner

AU - Benligiray, Burak

AU - Topal, Cihan

PY - 2016/6/20

Y1 - 2016/6/20

N2 - Facial expression recognition is an important computer vision problem with various applications. In this study, we investigate the effectiveness of features derived from facial landmarks in facial expression recognition. Distances between two combinations of facial landmarks constitute a distance vector. Features we use are the changes in the distance vectors extracted from expressive and neutral states of the face. The obtained feature vector contains elements that are relatively useless in expression recognition. By applying forward sequential feature selection, a subset of the most effective elements is formed. The chosen features are classified using a multi-class support vector machine. The performance of the proposed method is measured using Extended Cohn-Kanade dataset with seven expressions (anger, contempt, disgust, fear, happy, sad and surprised) and resulted in 89.9% mean class recognition accuracy.

AB - Facial expression recognition is an important computer vision problem with various applications. In this study, we investigate the effectiveness of features derived from facial landmarks in facial expression recognition. Distances between two combinations of facial landmarks constitute a distance vector. Features we use are the changes in the distance vectors extracted from expressive and neutral states of the face. The obtained feature vector contains elements that are relatively useless in expression recognition. By applying forward sequential feature selection, a subset of the most effective elements is formed. The chosen features are classified using a multi-class support vector machine. The performance of the proposed method is measured using Extended Cohn-Kanade dataset with seven expressions (anger, contempt, disgust, fear, happy, sad and surprised) and resulted in 89.9% mean class recognition accuracy.

KW - Cohn-Kanade dataset

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KW - feature selection

KW - forward sequential feature selection

KW - support vector machines

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Gacav C, Benligiray B, Topal C. Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi. In 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1481-1484. 7496031. (2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings). doi: 10.1109/SIU.2016.7496031

Yüz Ifadesi Tanima Için Ardisik Ileri Öznitelik Seçimi

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap