Pixel Coordinates for Obtaining 3D Body Measurements from 2D Images

Nefise Gonul Sengoz; Fatih Zeybek

Makale detayları

Pixel Coordinates for Obtaining 3D Body Measurements from 2D Images

Yazarlar:

Nefise Gonul Sengoz | Fatih Zeybek

Yayıncı:

Ege University

Ana Başlıklar:

Wearable Materials

Dergi:

Textile and Apparel Vol.34 Issue 2, pp.127-146

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322305

pISSN:

1300-3356

Anahtar kelimeler:

Özet:

 In this research, a new method developed with pixel coordinates is presented to obtain 3D body measurements from 2D images, to eliminate the need of the body to take measurements and to solve unfit problem in e-shopping. Front and side photographs are processed with new developed programmes named PixelList1.0 and Python 2.0. The sharp silhouettes, presented in authors another publication, are benefited with algorithms to reach pixel coordinates of feature points. Number of pixels in between feature points are saved, absolute values of differences consecutively are calculated, and 3D body measurements in pixels are obtained with different mathematical models. A conversion coefficient is introduced and size of a pixel is calculated accurately, 0.239 cmpixel. 3D body measurements in centimeters are obtained by multiplying number of pixels by the size of one pixel in circle, ellipse, and hippodrome circumference equations. An overall accuracy rate of 93  is concluded with the ellipse circumference equation.

 In this research, a new method developed with pixel coordinates is presented to obtain 3D body measurements from 2D images, to eliminate the need of the body to take measurements and to solve unfit problem in e-shopping. Front and side photographs are processed with new developed programmes named PixelList1.0 and Python 2.0. The sharp silhouettes, presented in authors another publication, are benefited with algorithms to reach pixel coordinates of feature points. Number of pixels in between feature points are saved, absolute values of differences consecutively are calculated, and 3D body measurements in pixels are obtained with different mathematical models. A conversion coefficient is introduced and size of a pixel is calculated accurately, 0.239 cmpixel. 3D body measurements in centimeters are obtained by multiplying number of pixels by the size of one pixel in circle, ellipse, and hippodrome circumference equations. An overall accuracy rate of 93  is concluded with the ellipse circumference equation.

 In this research, a new method developed with pixel coordinates is presented to obtain 3D body measurements from 2D images, to eliminate the need of the body to take measurements and to solve unfit problem in e-shopping. Front and side photographs are processed with new developed programmes named PixelList1.0 and Python 2.0. The sharp silhouettes, presented in authors another publication, are benefited with algorithms to reach pixel coordinates of feature points. Number of pixels in between feature points are saved, absolute values of differences consecutively are calculated, and 3D body measurements in pixels are obtained with different mathematical models. A conversion coefficient is introduced and size of a pixel is calculated accurately, 0.239 cmpixel. 3D body measurements in centimeters are obtained by multiplying number of pixels by the size of one pixel in circle, ellipse, and hippodrome circumference equations. An overall accuracy rate of 93  is concluded with the ellipse circumference equation.

 In this research, a new method developed with pixel coordinates is presented to obtain 3D body measurements from 2D images, to eliminate the need of the body to take measurements and to solve unfit problem in e-shopping. Front and side photographs are processed with new developed programmes named PixelList1.0 and Python 2.0. The sharp silhouettes, presented in authors another publication, are benefited with algorithms to reach pixel coordinates of feature points. Number of pixels in between feature points are saved, absolute values of differences consecutively are calculated, and 3D body measurements in pixels are obtained with different mathematical models. A conversion coefficient is introduced and size of a pixel is calculated accurately, 0.239 cmpixel. 3D body measurements in centimeters are obtained by multiplying number of pixels by the size of one pixel in circle, ellipse, and hippodrome circumference equations. An overall accuracy rate of 93  is concluded with the ellipse circumference equation.

Makale detayları

Pixel Coordinates for Obtaining 3D Body Measurements from 2D Images

Yazarlar:

Nefise Gonul Sengoz | Fatih Zeybek

Yayıncı:

Ege University

Ana Başlıklar:

Wearable Materials

Dergi:

Textile and Apparel Vol.34 Issue 2, pp.127-146

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322305

pISSN:

1300-3356

Body Measurements

3D

2D

Pixel coordinate

Feature points

Mathematical modelsBody Measurements

3D

2D

Pixel coordinate

Feature points

Mathematical models

Sayı

Makale detayları

Yazarlar: Nefise Gonul Sengoz | Fatih Zeybek

Yayıncı: Ege University

Ana Başlıklar: Wearable Materials

Dergi: Textile and Apparel Vol.34 Issue 2, pp.127-146

Belge Tipi: Makale

Yayın Tarihi: 6/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001322305

pISSN: 1300-3356

Sayı

Yazarlar:

Nefise Gonul Sengoz | Fatih Zeybek

Yayıncı:

Ege University

Ana Başlıklar:

Wearable Materials

Dergi:

Textile and Apparel Vol.34 Issue 2, pp.127-146

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322305

pISSN:

1300-3356