Kapali Ortamlar İçin Daǧitik Mimarili Yüz Tanima Sistemi

Emre Sercan Aslan; Baris Bayram; Gokhan Ince

doi:10.1109/SIU.2017.7960393

Kapali Ortamlar İçin Daǧitik Mimarili Yüz Tanima Sistemi

Emre Sercan Aslan^*
, Baris Bayram
, Gokhan Ince

^*Bu çalışma için yazışmadan sorumlu yazar

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

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

1 Atıf (Scopus)

Özet

Performance of a face recognition process changes depending on the distance between the camera and the person, light in the environment, pose, quality of image and the algorithm that is used for face recognition. An image collection system with a distributed architecture incorporating an embedded computer with a camera and a mobile robot equipped with a camera, a depth sensor and a microphone is developed. Face recognition using deep learning and artificial neural networks is applied on the gathered images. The performance of face recognition is investigated in terms of distance, size of the image set, activation mode, behaviour of the mobile robot and combination of the all components. The effectiveness of the system is verified using real world experiments.

Tercüme edilen katkı başlığı	Distributed face recognition system for indoor environments
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781509064946
DOI'lar	https://doi.org/10.1109/SIU.2017.7960393
Yayın durumu	Yayınlandı - 27 Haz 2017
Etkinlik	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Türkiye Süre: 15 May 2017 → 18 May 2017

Yayın serisi

Adı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

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

???event.eventtypes.event.conference???	25th Signal Processing and Communications Applications Conference, SIU 2017
Ülke/Bölge	Türkiye
Şehir	Antalya
Periyot	15/05/17 → 18/05/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Keywords

deep learning
distributed systems
face recognition
human-robot interaction
neural networks

Belgeye Erişim

10.1109/SIU.2017.7960393

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Aslan, E. S., Bayram, B., & Ince, G. (2017). Kapali Ortamlar İçin Daǧitik Mimarili Yüz Tanima Sistemi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Makale 7960393 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960393

@inproceedings{03c2230fe0eb4c40956bd19d9139671d,

title = "Kapali Ortamlar İ{\c c}in Daǧitik Mimarili Y{\"u}z Tanima Sistemi",

abstract = "Performance of a face recognition process changes depending on the distance between the camera and the person, light in the environment, pose, quality of image and the algorithm that is used for face recognition. An image collection system with a distributed architecture incorporating an embedded computer with a camera and a mobile robot equipped with a camera, a depth sensor and a microphone is developed. Face recognition using deep learning and artificial neural networks is applied on the gathered images. The performance of face recognition is investigated in terms of distance, size of the image set, activation mode, behaviour of the mobile robot and combination of the all components. The effectiveness of the system is verified using real world experiments.",

keywords = "deep learning, distributed systems, face recognition, human-robot interaction, neural networks",

author = "Aslan, \{Emre Sercan\} and Baris Bayram and Gokhan Ince",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",

year = "2017",

month = jun,

day = "27",

doi = "10.1109/SIU.2017.7960393",

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

series = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

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

booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

address = "United States",

}

Aslan, ES, Bayram, B & Ince, G 2017, Kapali Ortamlar İçin Daǧitik Mimarili Yüz Tanima Sistemi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960393, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Türkiye, 15/05/17. https://doi.org/10.1109/SIU.2017.7960393

Kapali Ortamlar İçin Daǧitik Mimarili Yüz Tanima Sistemi. / Aslan, Emre Sercan; Bayram, Baris; Ince, Gokhan.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960393 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

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

TY - GEN

T1 - Kapali Ortamlar İçin Daǧitik Mimarili Yüz Tanima Sistemi

AU - Aslan, Emre Sercan

AU - Bayram, Baris

AU - Ince, Gokhan

PY - 2017/6/27

Y1 - 2017/6/27

N2 - Performance of a face recognition process changes depending on the distance between the camera and the person, light in the environment, pose, quality of image and the algorithm that is used for face recognition. An image collection system with a distributed architecture incorporating an embedded computer with a camera and a mobile robot equipped with a camera, a depth sensor and a microphone is developed. Face recognition using deep learning and artificial neural networks is applied on the gathered images. The performance of face recognition is investigated in terms of distance, size of the image set, activation mode, behaviour of the mobile robot and combination of the all components. The effectiveness of the system is verified using real world experiments.

AB - Performance of a face recognition process changes depending on the distance between the camera and the person, light in the environment, pose, quality of image and the algorithm that is used for face recognition. An image collection system with a distributed architecture incorporating an embedded computer with a camera and a mobile robot equipped with a camera, a depth sensor and a microphone is developed. Face recognition using deep learning and artificial neural networks is applied on the gathered images. The performance of face recognition is investigated in terms of distance, size of the image set, activation mode, behaviour of the mobile robot and combination of the all components. The effectiveness of the system is verified using real world experiments.

KW - deep learning

KW - distributed systems

KW - face recognition

KW - human-robot interaction

KW - neural networks

UR - https://www.scopus.com/pages/publications/85026309551

U2 - 10.1109/SIU.2017.7960393

DO - 10.1109/SIU.2017.7960393

M3 - Konferans katkısı

AN - SCOPUS:85026309551

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

ER -

Kapali Ortamlar İçin Daǧitik Mimarili Yüz Tanima Sistemi

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap