Abstract: Modeling 3D human body is an advanced technique used in human motion analysis and garment industry. In this paper, we propose a method for forming deformation functions so that we can rebuild the 3D human body given anthropometric measurements. The advanced idea in our approach is that we split the 3D body into small parts. In that way, we can specialize different set of parameters needed to interpolate for each section. With an interpolation approach, we build a 3D human body for 593 female bodies with the corresponding body shape but require fewer input measurements than 3D laser scans.

Tran Thi Minh Kieu, Nguyen Tung Mau, Le Van and Pham The Bao, “Combining 3D Interpolation, Regression, and Body Features to build 3D Human Data for Garment: An Application to Building 3D Vietnamese Female Data Model” International Journal of Advanced Computer Science and Applications(IJACSA), 11(1), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110152

@article{Kieu2020,
title = {Combining 3D Interpolation, Regression, and Body Features to build 3D Human Data for Garment: An Application to Building 3D Vietnamese Female Data Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110152},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110152},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {1},
author = {Tran Thi Minh Kieu and Nguyen Tung Mau and Le Van and Pham The Bao}
}