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Breast volume measurement by mesh projection method based on 3D point cloud data

Xiaona Chen (Fashion Design and Engineering Institute, Donghua University, Shanghai, China.)
Jianping Wang (Fashion Design and Engineering Institute, Donghua University, Shanghai, China.)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 20 April 2015

455

Abstract

Purpose

The purpose of this paper is to explore a novel breast volume measuring method by mesh projection based on three-dimensional (3D) point cloud data.

Design/methodology/approach

Mesh projection method, a rapid and accurate method to calculate the volume of models described by triangular meshes, was transplanted to calculate breast volume based on 3D point cloud data derived from a [TC]2 3D scanner. A simple landmarking procedure was developed to decide breast boundary. Breast volumes derived from mesh projection method were compared to the results of water displacement by statistical analysis to validate its accuracy.

Findings

A novel breast volume measurement method is developed based on mesh projection method. By comparison of water displacement, mesh projection method is proved to be accurate to calculate breast volume. Furthermore, a simple and standard breast boundary landmarking procedure is established, which avoids the arbitrariness of the definition of breast boundary and improves the repetition of landmarking.

Practical implications

A simple and convenient tool is provided for bra industries to rapidly and accurately measure breast volume.

Originality/value

Mesh projection method is primarily applied to determine breast volume based on 3D point cloud data. Meanwhile, a simple and standard breast boundary landmarking procedure is put forward.

Keywords

Acknowledgements

The authors thank Donghua University for the financial support in Doctorial Innovation Funding program (BC201117).

Citation

Chen, X. and Wang, J. (2015), "Breast volume measurement by mesh projection method based on 3D point cloud data", International Journal of Clothing Science and Technology, Vol. 27 No. 2, pp. 221-236. https://doi.org/10.1108/IJCST-11-2013-0124

Publisher

:

Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

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