{"title":"Towards real-time photogrammetry","authors":"Armin Gruen","doi":"10.1016/0031-8663(88)90003-8","DOIUrl":null,"url":null,"abstract":"<div><p>The modern vision disciplines Computer Vision, Machine Vision, Robot Vision are in fact synonymous with Real-Time Photogrammetry. Promising market surveys, startling hardware developments and exciting algorithmic problems to be solved make this field a challenge for each photogrammetrist.</p><p>This overview paper is mainly concerned with a system's approach to real-time photogrammetry and a few hardware issues. Particular emphasis is put on the image acquisition problem, because this is the key to high-accuracy results. Some problems of current systems are highlighted and prospects for future directions indicated. A brief survey of present-day truly photogrammetric systems (systems with a substantial amount of photogrammetric expertise incorporated) is presented and their point-positioning accuracies, as obtained up to now, are reported.</p></div>","PeriodicalId":101020,"journal":{"name":"Photogrammetria","volume":"42 5","pages":"Pages 209-244"},"PeriodicalIF":0.0000,"publicationDate":"1988-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0031-8663(88)90003-8","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photogrammetria","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0031866388900038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
The modern vision disciplines Computer Vision, Machine Vision, Robot Vision are in fact synonymous with Real-Time Photogrammetry. Promising market surveys, startling hardware developments and exciting algorithmic problems to be solved make this field a challenge for each photogrammetrist.
This overview paper is mainly concerned with a system's approach to real-time photogrammetry and a few hardware issues. Particular emphasis is put on the image acquisition problem, because this is the key to high-accuracy results. Some problems of current systems are highlighted and prospects for future directions indicated. A brief survey of present-day truly photogrammetric systems (systems with a substantial amount of photogrammetric expertise incorporated) is presented and their point-positioning accuracies, as obtained up to now, are reported.