{"title":"A Fast Closed-Form Solution for Single-View Pose Determination","authors":"B. St John, G. Madlmayr","doi":"10.1109/ISPA.2007.4383676","DOIUrl":null,"url":null,"abstract":"In this paper, we present an extremely efficient closed-form method which yields results comparable to iterative methods, at a minor fraction of the computational cost, and without camera calibration. The algorithm solves the single view pose determination of a square marker with a straightforward, single-stage calculation. Further, the cost of the method is independent of image resolution. Our technique has two major distinctive points: an assumption of near-constant depth for the marker, which allows the splitting of the projection matrix into a perspective division and a rotation matrix, and a heuristic method using the perspective effect to disambiguate similar marker orientations.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 5th International Symposium on Image and Signal Processing and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2007.4383676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we present an extremely efficient closed-form method which yields results comparable to iterative methods, at a minor fraction of the computational cost, and without camera calibration. The algorithm solves the single view pose determination of a square marker with a straightforward, single-stage calculation. Further, the cost of the method is independent of image resolution. Our technique has two major distinctive points: an assumption of near-constant depth for the marker, which allows the splitting of the projection matrix into a perspective division and a rotation matrix, and a heuristic method using the perspective effect to disambiguate similar marker orientations.