Research of human body size from the 2D images for garment industry anthropometric

Authors

  • Nguyen Thi Ngoc Quyen Trường Đại học Công Nghệ TP.HCM
  • Huynh Van Tri Trường Đại học Công Nghiệp TP.HCM

Corressponding author's email:

tapchikhgkdt@hcmute.edu.vn

Keywords:

2D images, body dimensions

Abstract

Dimension of the human body from 2D images is the indirect method of measurement, help collect anthropometric data quickly with low investment costs and produce relatively accurate results. With this paper, we introduce the algorithms of body dimensions from 2D images of the front and side. The result are extracted automatically parameters from the image. We were compared with results the parameters of direct measurement.

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References

Nguyễn Thị Ngọc Quyên, Huỳnh Văn Trí, Nghiên cứu trích xuất mốc đo trên cơ thể người từ ảnh 2D cho nhân trắc học ngành may, Đại học Kỹ Thuật Công Nghệ TP.HCM, Đại Học Công Nghiệp, 2013.

J.Fan, W.Yu and L.Hunter, Clothing appearance and fit : Science and technology, The textile Institute, 2004.

Nadia Magnenat – Thalmann, Modeling and Simulating Bodies and garments, Springe, 2010.

Patrick Chi-Yuen Hung, Channa P.Witana and Ravindra S.Goonetilleke, Anthropometric Measurements from Photographic images, Human Performance Laboratory, department of Industrial Engineering and Engineer Management, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, 2004.

Charlie C.L.Wang, Yu Wang, Terry K.K.Chang, Matthew M.F.Yuen, Virtual human modeling from photographs for garment industry, Department of Mechanical Engineering, Hong Kong University of Science and Technology, Elsevier, 2007.

Yueh-Ling Lin, Mao- Jiun J.Wang; Automated body feature extraction from 2D images; Department of industrial engineering and engineering management, National Tsing Hua University, Taiwan, Elsevier, 2011.

Published

28-08-2013

How to Cite

[1]
Nguyễn Thị Ngọc Quyên and Huỳnh Văn Trí, “Research of human body size from the 2D images for garment industry anthropometric”, JTE, vol. 8, no. 2, pp. 45–51, Aug. 2013.

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Section

Research Article

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