Yuz nirengi noktalarinin görünüş öznitelikleri ile ifade tanima

Nuri Özbey; Cihan Topal

doi:10.1109/SIU.2018.8404541

Yuz nirengi noktalarinin görünüş öznitelikleri ile ifade tanima

Nuri Özbey
, Cihan Topal

Anadolu University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

7 Atıf (Scopus)

Özet

The human face is the subject of many studies in the field of artificial vision because of the high amount of semantic information. The most common of the studies carried out in this area are face analysis and expression. Automatic face recognition is used in many applications such as human-computer interaction, behavior analysis and marketing. In this study, it is aimed to use appearance based features obtained from the landmarks for instant facial expression recognition. In the study, the local binary pattern (LBP) attributes obtained from the surrounding of the landmarks using active shape models are used. In order to find the most discriminating subset of the obtained attributes, the selection of the attributes has been applied for improve the recognition rate. It has been shown that the method proposed in experiments with 10-fold cross-validation with the Cohn-Kanade dataset (CK+) which is containing seven different expression classes achieves %89.71 success rate.

Tercüme edilen katkı başlığı	Expression recognition with appearance-based features of facial landmarks
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1-4
Sayfa sayısı	4
ISBN (Elektronik)	9781538615010
DOI'lar	https://doi.org/10.1109/SIU.2018.8404541
Yayın durumu	Yayınlandı - 5 Tem 2018
Harici olarak yayınlandı	Evet
Etkinlik	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Süre: 2 May 2018 → 5 May 2018

Yayın serisi

Adı	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

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

???event.eventtypes.event.conference???	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Ülke/Bölge	Turkey
Şehir	Izmir
Periyot	2/05/18 → 5/05/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Keywords

Cohn-Kanade Dataset
Facial expression recognition
Feature Selection
Local Binary Patterns
Sequential Forward Feature Selection

Belgeye Erişim

10.1109/SIU.2018.8404541

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Özbey, N., & Topal, C. (2018). Yuz nirengi noktalarinin görünüş öznitelikleri ile ifade tanima. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 (pp. 1-4). (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2018.8404541

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title = "Yuz nirengi noktalarinin g{\"o}r{\"u}n{\"u}{\c s} {\"o}znitelikleri ile ifade tanima",

abstract = "The human face is the subject of many studies in the field of artificial vision because of the high amount of semantic information. The most common of the studies carried out in this area are face analysis and expression. Automatic face recognition is used in many applications such as human-computer interaction, behavior analysis and marketing. In this study, it is aimed to use appearance based features obtained from the landmarks for instant facial expression recognition. In the study, the local binary pattern (LBP) attributes obtained from the surrounding of the landmarks using active shape models are used. In order to find the most discriminating subset of the obtained attributes, the selection of the attributes has been applied for improve the recognition rate. It has been shown that the method proposed in experiments with 10-fold cross-validation with the Cohn-Kanade dataset (CK+) which is containing seven different expression classes achieves \%89.71 success rate.",

keywords = "Cohn-Kanade Dataset, Facial expression recognition, Feature Selection, Local Binary Patterns, Sequential Forward Feature Selection",

author = "Nuri {\"O}zbey and Cihan Topal",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 ; Conference date: 02-05-2018 Through 05-05-2018",

year = "2018",

month = jul,

day = "5",

doi = "10.1109/SIU.2018.8404541",

language = "T{\"u}rk{\c c}e",

series = "26th IEEE Signal Processing and Communications Applications Conference, SIU 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--4",

booktitle = "26th IEEE Signal Processing and Communications Applications Conference, SIU 2018",

address = "United States",

}

Özbey, N & Topal, C 2018, Yuz nirengi noktalarinin görünüş öznitelikleri ile ifade tanima. in 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Izmir, Turkey, 2/05/18. https://doi.org/10.1109/SIU.2018.8404541

Yuz nirengi noktalarinin görünüş öznitelikleri ile ifade tanima. / Özbey, Nuri; Topal, Cihan.
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Yuz nirengi noktalarinin görünüş öznitelikleri ile ifade tanima

AU - Özbey, Nuri

AU - Topal, Cihan

PY - 2018/7/5

Y1 - 2018/7/5

N2 - The human face is the subject of many studies in the field of artificial vision because of the high amount of semantic information. The most common of the studies carried out in this area are face analysis and expression. Automatic face recognition is used in many applications such as human-computer interaction, behavior analysis and marketing. In this study, it is aimed to use appearance based features obtained from the landmarks for instant facial expression recognition. In the study, the local binary pattern (LBP) attributes obtained from the surrounding of the landmarks using active shape models are used. In order to find the most discriminating subset of the obtained attributes, the selection of the attributes has been applied for improve the recognition rate. It has been shown that the method proposed in experiments with 10-fold cross-validation with the Cohn-Kanade dataset (CK+) which is containing seven different expression classes achieves %89.71 success rate.

AB - The human face is the subject of many studies in the field of artificial vision because of the high amount of semantic information. The most common of the studies carried out in this area are face analysis and expression. Automatic face recognition is used in many applications such as human-computer interaction, behavior analysis and marketing. In this study, it is aimed to use appearance based features obtained from the landmarks for instant facial expression recognition. In the study, the local binary pattern (LBP) attributes obtained from the surrounding of the landmarks using active shape models are used. In order to find the most discriminating subset of the obtained attributes, the selection of the attributes has been applied for improve the recognition rate. It has been shown that the method proposed in experiments with 10-fold cross-validation with the Cohn-Kanade dataset (CK+) which is containing seven different expression classes achieves %89.71 success rate.

KW - Cohn-Kanade Dataset

KW - Facial expression recognition

KW - Feature Selection

KW - Local Binary Patterns

KW - Sequential Forward Feature Selection

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DO - 10.1109/SIU.2018.8404541

M3 - Konferans katkısı

AN - SCOPUS:85050823346

T3 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

SP - 1

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BT - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

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ER -

Yuz nirengi noktalarinin görünüş öznitelikleri ile ifade tanima

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

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