Yüz Özniteliklerinin Karikatür ve Fotoʇraflarda Çakiştirilmasi

Bahri Abaci; Tayfun Akgul

doi:10.1109/SIU.2015.7130297

Yüz Özniteliklerinin Karikatür ve Fotoʇraflarda Çakiştirilmasi

Bahri Abaci, Tayfun Akgul

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

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

Özet

This paper introduces a publicly available caricature-photograph database and some facial attribute based matching approach to foster research in caricature recognition. The proposed database consist of 200 caricatures and corresponding photomates. Our facial attribute based matching approach defines 32 qualitative features (i.e., gender, hair color, face shape, etc.) for identifying a subject. Then these qualitative features are used to match a caricature to a photograph. In our experiments, we use genetic algorithms and achieve 69% recognition rate at 10% false acceptance rate.

Tercüme edilen katkı başlığı	Matching facial attributes in caricature-photograph pairs
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	2145-2148
Sayfa sayısı	4
ISBN (Elektronik)	9781467373869
DOI'lar	https://doi.org/10.1109/SIU.2015.7130297
Yayın durumu	Yayınlandı - 19 Haz 2015
Etkinlik	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Süre: 16 May 2015 → 19 May 2015

Yayın serisi

Adı	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

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

???event.eventtypes.event.conference???	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Ülke/Bölge	Turkey
Şehir	Malatya
Periyot	16/05/15 → 19/05/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Keywords

Caricature matching
Face recognition
Genetic algorithms

Belgeye Erişim

10.1109/SIU.2015.7130297

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Abaci, B., & Akgul, T. (2015). Yüz Özniteliklerinin Karikatür ve Fotoʇraflarda Çakiştirilmasi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings (pp. 2145-2148). Makale 7130297 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2015.7130297

Abaci, Bahri ; Akgul, Tayfun. / Yüz Özniteliklerinin Karikatür ve Fotoʇraflarda Çakiştirilmasi. 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2145-2148 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

@inproceedings{99bace232c124cb1869b29e3451f4a51,

title = "Y{\"u}z {\"O}zniteliklerinin Karikat{\"u}r ve Fotoʇraflarda {\c C}aki{\c s}tirilmasi",

abstract = "This paper introduces a publicly available caricature-photograph database and some facial attribute based matching approach to foster research in caricature recognition. The proposed database consist of 200 caricatures and corresponding photomates. Our facial attribute based matching approach defines 32 qualitative features (i.e., gender, hair color, face shape, etc.) for identifying a subject. Then these qualitative features are used to match a caricature to a photograph. In our experiments, we use genetic algorithms and achieve 69% recognition rate at 10% false acceptance rate.",

keywords = "Caricature matching, Face recognition, Genetic algorithms",

author = "Bahri Abaci and Tayfun Akgul",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 ; Conference date: 16-05-2015 Through 19-05-2015",

year = "2015",

month = jun,

day = "19",

doi = "10.1109/SIU.2015.7130297",

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

series = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",

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

pages = "2145--2148",

booktitle = "2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings",

address = "United States",

}

Abaci, B & Akgul, T 2015, Yüz Özniteliklerinin Karikatür ve Fotoʇraflarda Çakiştirilmasi. in 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings., 7130297, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2145-2148, 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Turkey, 16/05/15. https://doi.org/10.1109/SIU.2015.7130297

Yüz Özniteliklerinin Karikatür ve Fotoʇraflarda Çakiştirilmasi. / Abaci, Bahri; Akgul, Tayfun.
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2145-2148 7130297 (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings).

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

TY - GEN

T1 - Yüz Özniteliklerinin Karikatür ve Fotoʇraflarda Çakiştirilmasi

AU - Abaci, Bahri

AU - Akgul, Tayfun

PY - 2015/6/19

Y1 - 2015/6/19

N2 - This paper introduces a publicly available caricature-photograph database and some facial attribute based matching approach to foster research in caricature recognition. The proposed database consist of 200 caricatures and corresponding photomates. Our facial attribute based matching approach defines 32 qualitative features (i.e., gender, hair color, face shape, etc.) for identifying a subject. Then these qualitative features are used to match a caricature to a photograph. In our experiments, we use genetic algorithms and achieve 69% recognition rate at 10% false acceptance rate.

AB - This paper introduces a publicly available caricature-photograph database and some facial attribute based matching approach to foster research in caricature recognition. The proposed database consist of 200 caricatures and corresponding photomates. Our facial attribute based matching approach defines 32 qualitative features (i.e., gender, hair color, face shape, etc.) for identifying a subject. Then these qualitative features are used to match a caricature to a photograph. In our experiments, we use genetic algorithms and achieve 69% recognition rate at 10% false acceptance rate.

KW - Caricature matching

KW - Face recognition

KW - Genetic algorithms

UR - http://www.scopus.com/inward/record.url?scp=84939133208&partnerID=8YFLogxK

U2 - 10.1109/SIU.2015.7130297

DO - 10.1109/SIU.2015.7130297

M3 - Konferans katkısı

AN - SCOPUS:84939133208

T3 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

SP - 2145

EP - 2148

BT - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015

Y2 - 16 May 2015 through 19 May 2015

ER -

Abaci B, Akgul T. Yüz Özniteliklerinin Karikatür ve Fotoʇraflarda Çakiştirilmasi. In 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2145-2148. 7130297. (2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings). doi: 10.1109/SIU.2015.7130297

Yüz Özniteliklerinin Karikatür ve Fotoʇraflarda Çakiştirilmasi

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap