Open Access iconOpen Access


Building 3-D Human Data Based on Handed Measurement and CNN

Bich Nguyen1, Binh Nguyen1, Hai Tran2, Vuong Pham1, Le Nhi Lam Thuy1, Pham The Bao1,*

1 Faculty of Information Science, Sai Gon University, Ho Chi Minh, 70000, Vietnam
2 Faculty of Information Technology, University of Education, Ho Chi Minh, 70000, Vietnam

* Corresponding Author: Pham The Bao. Email: email

Computers, Materials & Continua 2023, 74(2), 2431-2441.


3-dimension (3-D) printing technology is growing strongly with many applications, one of which is the garment industry. The application of human body models to the garment industry is necessary to respond to the increasing personalization demand and still guarantee aesthetics. This paper proposes a method to construct 3-D human models by applying deep learning. We calculate the location of the main slices of the human body, including the neck, chest, belly, buttocks, and the rings of the extremities, using pre-existing information. Then, on the positioning frame, we find the key points (fixed and unaltered) of these key slices and update these points to match the current parameters. To add points to a star slice, we use a deep learning model to mimic the form of the human body at that slice position. We use interpolation to produce sub-slices of different body sections based on the main slices to create complete body parts morphologically. We combine all slices to construct a full 3-D representation of the human body.


Cite This Article

APA Style
Nguyen, B., Nguyen, B., Tran, H., Pham, V., Thuy, L.N.L. et al. (2023). Building 3-D human data based on handed measurement and CNN. Computers, Materials & Continua, 74(2), 2431-2441.
Vancouver Style
Nguyen B, Nguyen B, Tran H, Pham V, Thuy LNL, Bao PT. Building 3-D human data based on handed measurement and CNN. Comput Mater Contin. 2023;74(2):2431-2441
IEEE Style
B. Nguyen, B. Nguyen, H. Tran, V. Pham, L.N.L. Thuy, and P.T. Bao "Building 3-D Human Data Based on Handed Measurement and CNN," Comput. Mater. Contin., vol. 74, no. 2, pp. 2431-2441. 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1260


  • 514


  • 0


Share Link