Extracting human body features automatically from 2d images landmark for garment industry anthropometric
Corressponding author's email:
tapchikhgkdt@hcmute.edu.vnKeywords:
UnavailableAbstract
Automatically extract landmarks on human body from 2D images is one of the effective techniques
to support the body size of the indirect method of measurement. With this paper, we introduce the
method of determining the landmark from the edge of the body extracted from 2D images of the
front and side. With 33 markers measured at the front and 29 markers measured from the side
results are extracted automatically that can be applied to anthropometric garment. Results are
evaluated by means of comparison between the experimental landmarks determined by the direct
method and software.
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References
Nguyễn Quang Quyền; Nhân trắc học và sự ứng dụng nghiên cứu trên người Việt Nam, Nhà xuất bản Y
học Hà Nội, 1974
Jun-Ming Lu, mao-Jiun J.Wang, Automated anthropometric data collection using whole body scanners,
Department of Industrial Engineering and Engineering Management, National Tsing Hua University,
Taiwan, Elsevier, 2008
Yong-Jin Liu, Dong-Liang Zhang, Matthew Ming-Fai Yuen, A survey on CAD methods in 3D garment
design, Department of Computer science and Technology, China, Computers in industry 61, 2010
Chang-Suk Cho, Jun-Young Park, Adrian Boeing, Philip Hingston, An implementation of a garmentfitting simulation system us 3D body data, Department of information science and Telecom, Hanshin
University, Australia, Computers in industry 61, 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
Enginee Management, Hong Kong University of Science and Technology, Clear Water Bay, Hong
Kong, 2004
Tạp Chí Khoa Học Giáo Dục Kỹ Thuật (26/2013)
Trường Đại Học Sư Phạm Kỹ Thuật Tp. Hồ Chí Minh 61
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,
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
“RGB color model”, http://en.wikipedia.org/wiki/RGB_color_model
John W.Shipman, Introduction to color theory, New Mexico Technique Computer Center,
Mohamed Ali, David Clausi, Using the canny Edge detector for Feature Extraction and
Enhancement of Remote Sensing Image, Ieee 2001 International, Geoscience and Remote
Sensing Symposium volume 5, 2001.
John Canny, A Computational Approach to Edge detection, Ieee Transactions on pattern
Analysis and Machine Intelligence volume 8, 1986.
R S Vaddi, L N P Boggavarapu, H D Vankayalapati and K.R.Anne, Contour detection using
Freeman chain Code and Approximation Methods for the real time object detection, Asian
Journal of Computer Science and Information Technology volume 1, 2011.
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