{"title":"基于单一视图数据重建 3D 物体","authors":"S. I. Vyatkin, B. S. Dolgovesov","doi":"10.3103/s8756699023050126","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>A method for reconstruction of 3D objects based on data from a single image of curved surfaces is proposed. To reconstruct the surface, object silhouette data and a multilevel height map are used. Unlike known approaches to single-view reconstruction, the method has no depth limitation and requires an order of magnitude less calculations. High-resolution 3D models can be generated interactively.</p>","PeriodicalId":44919,"journal":{"name":"Optoelectronics Instrumentation and Data Processing","volume":"31 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reconstruction of 3D Objects Based on Data from a Single View\",\"authors\":\"S. I. Vyatkin, B. S. Dolgovesov\",\"doi\":\"10.3103/s8756699023050126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Abstract</h3><p>A method for reconstruction of 3D objects based on data from a single image of curved surfaces is proposed. To reconstruct the surface, object silhouette data and a multilevel height map are used. Unlike known approaches to single-view reconstruction, the method has no depth limitation and requires an order of magnitude less calculations. High-resolution 3D models can be generated interactively.</p>\",\"PeriodicalId\":44919,\"journal\":{\"name\":\"Optoelectronics Instrumentation and Data Processing\",\"volume\":\"31 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2024-03-08\",\"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/s8756699023050126\",\"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/s8756699023050126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
Reconstruction of 3D Objects Based on Data from a Single View
Abstract
A method for reconstruction of 3D objects based on data from a single image of curved surfaces is proposed. To reconstruct the surface, object silhouette data and a multilevel height map are used. Unlike known approaches to single-view reconstruction, the method has no depth limitation and requires an order of magnitude less calculations. High-resolution 3D models can be generated interactively.
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.