{"title":"心外膜表面点与线对应的运动分析与建模","authors":"S. K. Mishra, D. Goldgof","doi":"10.1109/WVM.1991.212771","DOIUrl":null,"url":null,"abstract":"This paper presents a new algorithm for recovering motion parameters of nonrigid objects using both point and line correspondences. It requires estimating the coefficients of the first fundamental form before and after the motion. This algorithm has several advantages over a previously developed algorithm which uses only point correspondences and Gaussian curvature. First, it does not require any assumption on the spatial distribution of the stretching parameter in conformal motion. Second, the amount of computation is significantly reduced. The algorithm is tested on both simulated and real data and its performance is evaluated. In the second part, several issues related to nonrigid surface modeling and reconstruction from sparse data are discussed.<<ETX>>","PeriodicalId":208481,"journal":{"name":"Proceedings of the IEEE Workshop on Visual Motion","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Motion analysis and modeling of epicardial surfaces from point and line correspondences\",\"authors\":\"S. K. Mishra, D. Goldgof\",\"doi\":\"10.1109/WVM.1991.212771\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new algorithm for recovering motion parameters of nonrigid objects using both point and line correspondences. It requires estimating the coefficients of the first fundamental form before and after the motion. This algorithm has several advantages over a previously developed algorithm which uses only point correspondences and Gaussian curvature. First, it does not require any assumption on the spatial distribution of the stretching parameter in conformal motion. Second, the amount of computation is significantly reduced. The algorithm is tested on both simulated and real data and its performance is evaluated. In the second part, several issues related to nonrigid surface modeling and reconstruction from sparse data are discussed.<<ETX>>\",\"PeriodicalId\":208481,\"journal\":{\"name\":\"Proceedings of the IEEE Workshop on Visual Motion\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE Workshop on Visual Motion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WVM.1991.212771\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Workshop on Visual Motion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WVM.1991.212771","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion analysis and modeling of epicardial surfaces from point and line correspondences
This paper presents a new algorithm for recovering motion parameters of nonrigid objects using both point and line correspondences. It requires estimating the coefficients of the first fundamental form before and after the motion. This algorithm has several advantages over a previously developed algorithm which uses only point correspondences and Gaussian curvature. First, it does not require any assumption on the spatial distribution of the stretching parameter in conformal motion. Second, the amount of computation is significantly reduced. The algorithm is tested on both simulated and real data and its performance is evaluated. In the second part, several issues related to nonrigid surface modeling and reconstruction from sparse data are discussed.<>