Comparative Study on Prediction of the Girths of Young Females' Body
DOI:
10.3993/jfbi03200906
Journal of Fiber Bioengineering & Informatics1 (4) (2009), pp. 287-292
Published online: 2008-12
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@Article{JFBI-1-287,
author = {Lijing Wang},
title = {Comparative Study on Prediction of the Girths of Young Females' Body},
journal = {Journal of Fiber Bioengineering and Informatics},
year = {2008},
volume = {1},
number = {4},
pages = {287--292},
abstract = {To compare the advantages and disadvantages of the measurement and girth fitting methods
of human body, in this paper, 248 female students were selected as subjects. Frontal and profile images
of human body were taken by digital camera. The width, the whole thickness, the front segment
thickness and back segment thickness of cross-sections at chest, waist, abdomen and hip were measured
by photogrammetric measurement. The curve consisted of two-elliptic arcs and BP (Back-Propagation)
Neural Network were employed to model chest girth, waist girth, abdomen girth and hip girth based on
the measured data, and the girths were obtained respectively. These two methods were compared in this
paper.},
issn = {2617-8699},
doi = {https://doi.org/10.3993/jfbi03200906},
url = {http://global-sci.org/intro/article_detail/jfbi/5052.html}
}
TY - JOUR
T1 - Comparative Study on Prediction of the Girths of Young Females' Body
AU - Lijing Wang
JO - Journal of Fiber Bioengineering and Informatics
VL - 4
SP - 287
EP - 292
PY - 2008
DA - 2008/12
SN - 1
DO - http://doi.org/10.3993/jfbi03200906
UR - https://global-sci.org/intro/article_detail/jfbi/5052.html
KW - non-contact measurement
KW - girth
KW - curve fitting
KW - predicting method
AB - To compare the advantages and disadvantages of the measurement and girth fitting methods
of human body, in this paper, 248 female students were selected as subjects. Frontal and profile images
of human body were taken by digital camera. The width, the whole thickness, the front segment
thickness and back segment thickness of cross-sections at chest, waist, abdomen and hip were measured
by photogrammetric measurement. The curve consisted of two-elliptic arcs and BP (Back-Propagation)
Neural Network were employed to model chest girth, waist girth, abdomen girth and hip girth based on
the measured data, and the girths were obtained respectively. These two methods were compared in this
paper.
Lijing Wang. (2008). Comparative Study on Prediction of the Girths of Young Females' Body.
Journal of Fiber Bioengineering and Informatics. 1 (4).
287-292.
doi:10.3993/jfbi03200906
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