Yanyan Wang, Chunfang Li, Jiangnan Sun, Min Li, Jintian Yang
{"title":"基于三维点云处理与管理技术的脚部数据平台","authors":"Yanyan Wang, Chunfang Li, Jiangnan Sun, Min Li, Jintian Yang","doi":"10.1109/icisfall51598.2021.9627437","DOIUrl":null,"url":null,"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.","PeriodicalId":240142,"journal":{"name":"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Athlete's Foot Data Platform with 3D Point Cloud Processing and Management Technology\",\"authors\":\"Yanyan Wang, Chunfang Li, Jiangnan Sun, Min Li, Jintian Yang\",\"doi\":\"10.1109/icisfall51598.2021.9627437\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":240142,\"journal\":{\"name\":\"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icisfall51598.2021.9627437\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/ACIS 20th International Fall Conference on Computer and Information Science (ICIS Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icisfall51598.2021.9627437","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Athlete's Foot Data Platform with 3D Point Cloud Processing and Management Technology
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.