{"title":"表示体积和功能定义曲面组合的复杂物体的可视化方法","authors":"S. I. Vyatkin, B. S. Dolgovesov","doi":"10.3103/s8756699024700225","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>A method based on graphic processors has been proposed for visualizing complex objects representing a composition of volumes and functionally defined surfaces. The method uses hierarchical 3D data structures that do not require parameterization. Combinations of complex translucent volumes and surfaces based on perturbation functions are described.</p>","PeriodicalId":44919,"journal":{"name":"Optoelectronics Instrumentation and Data Processing","volume":"13 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method for the Visualization of Complex Objects Representing a Composition of Volumes and Functionally Defined Surfaces\",\"authors\":\"S. I. Vyatkin, B. S. Dolgovesov\",\"doi\":\"10.3103/s8756699024700225\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>A method based on graphic processors has been proposed for visualizing complex objects representing a composition of volumes and functionally defined surfaces. The method uses hierarchical 3D data structures that do not require parameterization. Combinations of complex translucent volumes and surfaces based on perturbation functions are described.</p>\",\"PeriodicalId\":44919,\"journal\":{\"name\":\"Optoelectronics Instrumentation and Data Processing\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Optoelectronics Instrumentation and Data Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3103/s8756699024700225\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optoelectronics Instrumentation and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3103/s8756699024700225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
Method for the Visualization of Complex Objects Representing a Composition of Volumes and Functionally Defined Surfaces
Abstract
A method based on graphic processors has been proposed for visualizing complex objects representing a composition of volumes and functionally defined surfaces. The method uses hierarchical 3D data structures that do not require parameterization. Combinations of complex translucent volumes and surfaces based on perturbation functions are described.
期刊介绍：
The scope of Optoelectronics, Instrumentation and Data Processing encompasses, but is not restricted to, the following areas: analysis and synthesis of signals and images; artificial intelligence methods; automated measurement systems; physicotechnical foundations of micro- and optoelectronics; optical information technologies; systems and components; modelling in physicotechnical research; laser physics applications; computer networks and data transmission systems. The journal publishes original papers, reviews, and short communications in order to provide the widest possible coverage of latest research and development in its chosen field.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
