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

Year 2024, Volume: 34 Issue: 2, 127 - 146

Nefise Gonul Sengoz Fatih Zeybek

https://doi.org/10.32710/tekstilvekonfeksiyon.1201436

Abstract

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 cm/pixel. 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.

Keywords

Body Measurements, 3D, 2D, Pixel coordinate, Feature points, Mathematical models

References

• 1. Turkish Statistical Institute (TÜİK), (2021). https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2021-37437
• 2. Eren, R.C. and Güngör, A. (2013). “A Different Method for Reaching Body Measurements”, Graduation Project, Uşak University, Faculty of Engineering, Department of Textile Engineering, Uşak, Supervisor: Doctoral Lecturer Nefise Gönül ŞENGÖZ (received support from TÜBİTAK 2209-A-2012-1), p.3-16.
• 3. Şengöz, N.G, Eren, R.C. and Güngör, A., 2017. “Development of a Method for Obtaining Body Measurements from Two-Dimensional Images”, IITAS-2017 XIV. International Textile and Apparel Symposium, p.109-112, İzmir.
• 4. Sen Kılıc, A. & Öndogan, Z. (2016). Evaluating And Defining Body Measurements According To Anthropometric Measurement Technique For Lower Garment Pattern Preparation. Tekstil ve Konfeksiyon, 26(1), 109-116. https://dergipark.org.tr/tr/pub/tekstilve konfeksiyon/issue/23651/251944
• 5. Bayraktar, F. (2007). “Setting the standardization for body size to be employed in the production of ready-made apparel for plus size women”. Gazi University, Institute of Educational Sciences, Department of Clothing Industry and Fashion Design Education. PhD thesis, Ankara, p.63-75.
• 6. Eğri, Ş. (2011). “A Case Study on The Problems Encountered in Three-Dimensional Body Scanning Systems (Kardem and İma example)”. Master's thesis, Ankara, p.44-58.
• 7. Gu, B., Liu, G. and Xu, B., (2017). “Individualizing Women’s Suit Patterns Using Body Measurements From Two-dimensional Images”, Textile Research Journal, Vol.87, Issue 6, p.669-681
• 8. Guerlain, Ph., Durand B., (2006). “Digitizing and Measuring of the Human Body for the Clothing Industry”, International Journal of Clothing Science and Technology, Vol. 18 Issue: 3, p.151–165.
• 9. Öndoğan. Z., Pamuk, O., Topal, E. (2007). “Investigation of Simulation Systems in Clothing Design, Body Measurement and Clothing Marketing”, Tekstil ve Konfeksiyon 4/2007, p.265-272.
• 10. Pargas, P.R., Staples, J.N., Davis, J.S. (1997). Automatic Measurement Extraction for Apparel from a 3 Dimensional Body Scan, Elsevier Science Limited, p. 157–172, USA.
• 11. Hung P.C., Channa P. Witana, and Ravindra S. Goonetilleke, (2004). “Anthropometric Measurements from Photo graphic Images”, Human Performance Laboratory, Department of Industrial Engineering and Engineering Management, Hong Kong University of Science and Technology, ClearWater Bay, Hong Kong. Work with Computing Systems 2004. H.M. Khalid, M.G. Helander, A.W. Yeo (Editors) . Kuala Lumpur: DamaiSciences, p.764-769, Hong Kong.
• 12. Pierre M and Shi Y. (2000). “Performance of 2D Image-Based Anthropometric Measurement and Clothing Sizing System”. Applied Ergonomics; 31: p.445–451.Toronto, Canada.
• 13. Apeagyei, P. (2010). “Application of 3D Body Scanning Technology to Human Measurement for Clothing Fit”. International Journal of Digital Content Technology and its Applications, 4(7), 1-11.p.58-68 England, UK.
• 14. Lin, Y. L., Wang, M. J. (2011). “Automated Body Feature Extraction From 2D Images”. Expert Systems with Applications, 38, p. 2585–2591.
• 15. Freeman, H., 1961. On The Encoding Of Arbitrary Geometric Configuration. IRE Transactions on Electronics Computers, 10, 264–268.
• 16. Kohlschütter, T. (2012). Human Body Modelling by Development of the Automatic Land Marking Algorithm. Technical Report No. DCSE/TR-2012-11.
• 17. Sengoz, N.G. & Zeybek, F. (2022). Sharp Silhouettes for Obtaining 3D Body Measurements from 2D Images. Necmettin Erbakan University Journal of Science and Engineering, 4 (2), 8-25. Retrieved from https://dergipark.org.tr/tr/pub/neufmbd/issue/ 74887/1202121 DOI: 10.47112/neufmbd.2022.2 E-ISSN: 2667-7989
• 18. Şeker Ş, 2018, “Detection of Profile Size with Image Processing Method”, M.Sc. Thesis, Karabük University Graduate School of Natural and Applied Sciences Department of Computer Engineering, Karabük, p.9-12.
• 19. GeoGebra, 2022. Geometry algebra and analysis software. https://www.geogebra.org/graphing (Date of Access: 01.05.2022).
• 20. Montgomery, D. C., (2013). “Introduction to Statistical Quality Control”, 7th Edition, John Wiley & Sons, 754 p.