International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 9, Issue 4 (April 2022), Pages: 129-138

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 Review Paper

 Title: A review of heuristic optimization techniques applied for 3D body reconstruction from anthropometric measurements

 Author(s): Dat Nguyen Tien 1, *, Thach Hoang Ngoc 1, V. L. Nguyen 2

 Affiliation(s):

 1Modeling and Simulation, Viettel High Technology Industries Corporation, Hanoi, Vietnam
 2Institute of Engineering and Technology, Thu Dau Mot University, Binh Duong Province, Vietnam

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0002-7537-8708

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2022.04.016

 Abstract:

Reconstructing 3D human models has a variety of applications in areas such as entertainment, medical, manufacturing, and design. Reconstruction techniques are classified based on characteristics such as data input, devices used, and algorithms employed, in which using anthropometric measurements is one of the most widely used methods. Traditional methods of 3D human reconstruction from anthropometric measurements rely on technologies like Convolutional Neutral Network (CNN), and Linear Regression to generate an accurate model in a reasonable amount of time. This paper presents a picture of heuristic optimization methods to find the optimal solution in 3D body reconstructions from anthropometric measurements. In terms of output accuracy, the methods discussed in this paper have the potential to outperform CNN and similar technologies. Results are verified and validated on a real dataset to evaluate the performances of each method. 

 © 2022 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: 3D body reconstruction, Heuristic optimization methods, Anthropometric measurements, Genetic Algorithm, Particle swarm optimization, Simulated annealing, Diversity control oriented genetic algorithm

 Article History: Received 16 October 2021, Received in revised form 7 February 2022, Accepted 15 February 2022

 Acknowledgment 

The authors would like to thank all members of the 3DR team for their contribution. The Viettel High Technology Industries Corporation fully funds this research.

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Tien DN, Ngoc TH, and Nguyen VL (2022). A review of heuristic optimization techniques applied for 3D body reconstruction from anthropometric measurements. International Journal of Advanced and Applied Sciences, 9(4): 129-138

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4

 Tables

 Table 1    

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