Viettel Military Industry and Telecoms Group has patented a system for quickly and accurately reconstructing a 3D human body from anthropometric measurements. The method involves four steps and includes modules for input, pre-processing, optimization, and output, enhancing efficiency over traditional digitization methods. GlobalData’s report on Viettel Military Industry and Telecoms Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Viettel Military Industry and Telecoms Group, Drone gimbals was a key innovation area identified from patents. Viettel Military Industry and Telecoms Group's grant share as of June 2024 was 41%. Grant share is based on the ratio of number of grants to total number of patents.

3d human body shape reconstruction system and method

Source: United States Patent and Trademark Office (USPTO). Credit: Viettel Military Industry and Telecoms Group

The patent US12014469B2 outlines a comprehensive system and method for reconstructing a 3D model of the human body using user-provided anthropometric measurements. The system comprises several key components, including an Input Block for data collection, a Pre-processing Module that employs machine learning techniques to create a parametric model dataset, and an Optimization Module that refines this model based on the user's measurements. The Pre-processing Module consists of a Data Generating Block, which produces random shape parameter values, and a Data Clustering Block that organizes these values into clusters of anthropometrically similar models. The Optimization Module further includes a Calculating Block to determine measurements and an Optimizing Block that utilizes a Genetic Algorithm to enhance the model's accuracy.

The method for 3D body reconstruction is structured in four main steps. Initially, anthropometric measurements are collected and processed to create an initial population of shape parameters. This population is clustered using a K-means algorithm to establish a solution space. The second step involves optimizing these shape parameters by applying crossover and mutation techniques to generate new individuals, which are then evaluated against a predefined threshold. If the results meet the criteria, the process advances to the final step, where the digitized human body model is displayed, completing the reconstruction process. This innovative approach aims to provide accurate 3D representations of human bodies, potentially benefiting various applications in fields such as fashion, healthcare, and virtual reality.

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