Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini

Gulpinar Bolukbas; Emrah Basaran; Mustafa Ersel Kamasak

doi:10.1109/SIU.2019.8806503

Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini

Gulpinar Bolukbas
, Emrah Basaran
, Mustafa Ersel Kamasak

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakemli

3 Atıf (Scopus)

Özet

Body-mass index (BMI) is the amount of mass per area of a person, and it is an important indicator of the weight status. From health industry till the social media applications, there are many areas where BMI data is used. Various machine learning techniques are developed for BMI prediction only from a face image without any information about the weight and height of a person.Making this kind of predictions is a regression problem. In this study, a deep network based BMI predictor tool is designed and its performance is compared with the existing methods from previous studies. Additionally, a new data set for validation purposes is introduced.

Tercüme edilen katkı başlığı	BMI prediction from face images
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	27th Signal Processing and Communications Applications Conference, SIU 2019
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781728119045
DOI'lar	https://doi.org/10.1109/SIU.2019.8806503
Yayın durumu	Yayınlandı - Nis 2019
Etkinlik	27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Türkiye Süre: 24 Nis 2019 → 26 Nis 2019

Yayın serisi

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

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

???event.eventtypes.event.conference???	27th Signal Processing and Communications Applications Conference, SIU 2019
Ülke/Bölge	Türkiye
Şehir	Sivas
Periyot	24/04/19 → 26/04/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Keywords

Face
Face Recognition
Facial Features
Feature Extraction
Transfer Learning

Belgeye Erişim

10.1109/SIU.2019.8806503

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Bolukbas, G., Basaran, E., & Kamasak, M. E. (2019). Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini. In 27th Signal Processing and Communications Applications Conference, SIU 2019 Makale 8806503 (27th Signal Processing and Communications Applications Conference, SIU 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2019.8806503

@inproceedings{2587bedc7834499cbf6a4fb110ef89c9,

title = "Y{\"u}z G{\"o}r{\"u}nt{\"u}lerinden V{\"u}cut Kitle Indeksi Tahmini",

abstract = "Body-mass index (BMI) is the amount of mass per area of a person, and it is an important indicator of the weight status. From health industry till the social media applications, there are many areas where BMI data is used. Various machine learning techniques are developed for BMI prediction only from a face image without any information about the weight and height of a person.Making this kind of predictions is a regression problem. In this study, a deep network based BMI predictor tool is designed and its performance is compared with the existing methods from previous studies. Additionally, a new data set for validation purposes is introduced.",

keywords = "Face, Face Recognition, Facial Features, Feature Extraction, Transfer Learning",

author = "Gulpinar Bolukbas and Emrah Basaran and Kamasak, \{Mustafa Ersel\}",

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.2019.8806503",

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",

}

Bolukbas, G, Basaran, E & Kamasak, ME 2019, Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini. in 27th Signal Processing and Communications Applications Conference, SIU 2019., 8806503, 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, Türkiye, 24/04/19. https://doi.org/10.1109/SIU.2019.8806503

Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini. / Bolukbas, Gulpinar; Basaran, Emrah; Kamasak, Mustafa Ersel.
27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8806503 (27th Signal Processing and Communications Applications Conference, SIU 2019).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakemli

TY - GEN

T1 - Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini

AU - Bolukbas, Gulpinar

AU - Basaran, Emrah

AU - Kamasak, Mustafa Ersel

PY - 2019/4

Y1 - 2019/4

N2 - Body-mass index (BMI) is the amount of mass per area of a person, and it is an important indicator of the weight status. From health industry till the social media applications, there are many areas where BMI data is used. Various machine learning techniques are developed for BMI prediction only from a face image without any information about the weight and height of a person.Making this kind of predictions is a regression problem. In this study, a deep network based BMI predictor tool is designed and its performance is compared with the existing methods from previous studies. Additionally, a new data set for validation purposes is introduced.

AB - Body-mass index (BMI) is the amount of mass per area of a person, and it is an important indicator of the weight status. From health industry till the social media applications, there are many areas where BMI data is used. Various machine learning techniques are developed for BMI prediction only from a face image without any information about the weight and height of a person.Making this kind of predictions is a regression problem. In this study, a deep network based BMI predictor tool is designed and its performance is compared with the existing methods from previous studies. Additionally, a new data set for validation purposes is introduced.

KW - Face

KW - Face Recognition

KW - Facial Features

KW - Feature Extraction

KW - Transfer Learning

UR - https://www.scopus.com/pages/publications/85071981300

U2 - 10.1109/SIU.2019.8806503

DO - 10.1109/SIU.2019.8806503

M3 - Konferans katkısı

AN - SCOPUS:85071981300

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 -

Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap