An Athlete's Foot Data Platform with 3D Point Cloud Processing and Management Technology

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall) Pub Date : 2021-10-13 DOI:10.1109/icisfall51598.2021.9627437

Yanyan Wang, Chunfang Li, Jiangnan Sun, Min Li, Jintian Yang

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Abstract

Driven by the application needs of computer-aided geometric design, computer animation, reverse engineering, medical diagnosis and entertainment industry, 3D point cloud data processing technology has attracted more and more attention. This article described some technology to process and manage the 3D point cloud data of athlete's feet, and the process of building a 3D data integrated system of athlete's foot information which consists of data acquisition, processing, upload, storage, visualization and authority control. Python Open3D is used to merge the foot mold point cloud data with base information, extract the foot mold point cloud data without base, denoise and generate mesh models. Three.JS technology is used to realize the smooth display and interaction of the model in Vue3 framework and Node.JS. The system can be used for assisting researchers in the foot modeling and sports biomechanical analysis of Winter Olympic athletes and sports students.

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基于三维点云处理与管理技术的脚部数据平台

在计算机辅助几何设计、计算机动画、逆向工程、医疗诊断、娱乐行业等应用需求的驱动下，三维点云数据处理技术越来越受到人们的关注。本文介绍了处理和管理脚部三维点云数据的一些技术，以及构建一个包括数据采集、处理、上传、存储、可视化和权限控制的脚部信息三维数据集成系统的过程。利用Python Open3D将足模点云数据与基础信息合并，提取无基础的足模点云数据，去噪并生成网格模型。采用Three.JS技术实现模型在Vue3框架和Node.JS中的流畅显示和交互。该系统可用于协助研究人员对冬奥会运动员和体育学生进行足部建模和运动生物力学分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)

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