{"title":"A new structure-from-motion ambiguity","authors":"J. Oliensis","doi":"10.1109/CVPR.1999.786937","DOIUrl":null,"url":null,"abstract":"This paper demonstrates the existence of a generic approximate ambiguity in Euclidean structure from motion (SFM) which applies to scenes with large depth variation. In projective SFM the ambiguity is absent, but the maximum-likelihood reconstruction is more likely to have occasional very large errors. The analysis gives a semi-quantitative characterization of the least-squares error surface over a domain complementary to that analyzed by Jepson/Heeger/Maybank.","PeriodicalId":20644,"journal":{"name":"Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)","volume":"79 4 1","pages":"185-191 Vol. 1"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"43","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVPR.1999.786937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 43
Abstract
This paper demonstrates the existence of a generic approximate ambiguity in Euclidean structure from motion (SFM) which applies to scenes with large depth variation. In projective SFM the ambiguity is absent, but the maximum-likelihood reconstruction is more likely to have occasional very large errors. The analysis gives a semi-quantitative characterization of the least-squares error surface over a domain complementary to that analyzed by Jepson/Heeger/Maybank.
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