3d reconstruction human body from anthropometric measurements using diversity control oriented genetic algorithm

Abstract

3D digitalization of the human body has been studied extensively for various applications in anthropology, ergonomics, healthcare, entertainment and fashion in-dustries. There are different methods and approaches to reconstruct the 3D body model namely using RGB cameras, depth cameras, scanning systems or anthropo-metric measurements of the human body. Generally, most of existing approaches have to tackle issues relating to security of personal data, the impact of the surrounding environment, cost of 3D scanning systems and complication of an-thropometric measurements. This study proposes a method using simple body measurements and given body shapes to digitalize the human body. The effec-tiveness of proposed method is evaluated and demonstrated based on two datasets: a synthetic dataset generated from a parametric model and a real dataset on Viet-namese collected by Viettel Military Industry and Telecoms Group (Vietnam).