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Research Article | Open Access |

Combining 3D Interpolation, Regression, and Body Features to build 3D Human Data for Garment: An Application to Building 3D Vietnamese Female Data Model

Author 1: Tran Thi Minh Kieu Author 2: Nguyen Tung Mau Author 3: Le Van Author 4: Pham The Bao
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 1 · Published 2020

DOI: https://doi.org/10.14569/IJACSA.2020.0110152

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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.

Keywords

Anthropometry 3D scanning human body modeling interpolation parametric modeling

How to Cite this Article

Kieu, T. T. M., Mau, N. T., Van, L., & Bao, P. T. (2020). 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, 11(1). https://doi.org/10.14569/IJACSA.2020.0110152

Kieu, Tran Thi Minh, et al.. "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, vol. 11, no. 1, 2020, https://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},
  volume    = {11},
  number    = {1},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Tran Thi Minh Kieu and Nguyen Tung Mau and Le Van and Pham The Bao},
  doi       = {10.14569/IJACSA.2020.0110152},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110152}
}

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