Yüzümsü Imge Tanima

Mehmet Kerem Turkcan; Ege Cetin; Tayfun Akgul

doi:10.1109/SIU.2019.8806499

Yüzümsü Imge Tanima

Translated title of the contribution: Face-looking image recognition

Mehmet Kerem Turkcan, Ege Cetin, Tayfun Akgul

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The idea of machines could successfully match face-looking images, took a place at minds with the correct detection and recognition rates reached by face recognition applications. With this study, a model has been developed for the recognition of face-looking images. Alternatively, it is aimed to recover the faces from the face-looking images which can be given as input to advanced face recognition algorithms.

Translated title of the contribution	Face-looking image recognition
Original language	Turkish
Title of host publication	27th Signal Processing and Communications Applications Conference, SIU 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728119045
DOIs	https://doi.org/10.1109/SIU.2019.8806499
Publication status	Published - Apr 2019
Event	27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey Duration: 24 Apr 2019 → 26 Apr 2019

Publication series

Name	27th Signal Processing and Communications Applications Conference, SIU 2019

Conference

Conference	27th Signal Processing and Communications Applications Conference, SIU 2019
Country/Territory	Turkey
City	Sivas
Period	24/04/19 → 26/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Access to Document

10.1109/SIU.2019.8806499

Cite this

@inproceedings{d33e57c6c21948fdb2266bff52f63736,

title = "Y{\"u}z{\"u}ms{\"u} Imge Tanima",

abstract = "The idea of machines could successfully match face-looking images, took a place at minds with the correct detection and recognition rates reached by face recognition applications. With this study, a model has been developed for the recognition of face-looking images. Alternatively, it is aimed to recover the faces from the face-looking images which can be given as input to advanced face recognition algorithms.",

keywords = "Face reconstruction, Face-looking image recognition",

author = "Turkcan, {Mehmet Kerem} and Ege Cetin and Tayfun Akgul",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 27th Signal Processing and Communications Applications Conference, SIU 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

year = "2019",

month = apr,

doi = "10.1109/SIU.2019.8806499",

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

series = "27th Signal Processing and Communications Applications Conference, SIU 2019",

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

booktitle = "27th Signal Processing and Communications Applications Conference, SIU 2019",

address = "United States",

}

Turkcan, MK, Cetin, E & Akgul, T 2019, Yüzümsü Imge Tanima. in 27th Signal Processing and Communications Applications Conference, SIU 2019., 8806499, 27th Signal Processing and Communications Applications Conference, SIU 2019, Institute of Electrical and Electronics Engineers Inc., 27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Turkey, 24/04/19. https://doi.org/10.1109/SIU.2019.8806499

Yüzümsü Imge Tanima. / Turkcan, Mehmet Kerem; Cetin, Ege; Akgul, Tayfun.
27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8806499 (27th Signal Processing and Communications Applications Conference, SIU 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Turkcan, Mehmet Kerem

AU - Cetin, Ege

AU - Akgul, Tayfun

PY - 2019/4

Y1 - 2019/4

N2 - The idea of machines could successfully match face-looking images, took a place at minds with the correct detection and recognition rates reached by face recognition applications. With this study, a model has been developed for the recognition of face-looking images. Alternatively, it is aimed to recover the faces from the face-looking images which can be given as input to advanced face recognition algorithms.

AB - The idea of machines could successfully match face-looking images, took a place at minds with the correct detection and recognition rates reached by face recognition applications. With this study, a model has been developed for the recognition of face-looking images. Alternatively, it is aimed to recover the faces from the face-looking images which can be given as input to advanced face recognition algorithms.

KW - Face reconstruction

KW - Face-looking image recognition

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DO - 10.1109/SIU.2019.8806499

M3 - Konferans katkısı

AN - SCOPUS:85071965356

T3 - 27th Signal Processing and Communications Applications Conference, SIU 2019

BT - 27th Signal Processing and Communications Applications Conference, SIU 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Signal Processing and Communications Applications Conference, SIU 2019

Y2 - 24 April 2019 through 26 April 2019

ER -

Yüzümsü Imge Tanima

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