{"title":"使用子集对应的可变形物体的运动分析","authors":"S. Chaudhuri, S. Chatterjee","doi":"10.1109/PACRIM.1989.48362","DOIUrl":null,"url":null,"abstract":"A method is proposed to estimate generalized three-dimensional motion parameters for a deformable object using only subset correspondences between two successive time frames, eliminating a major preprocessing step. Only a small amount of information has to be processed, reducing the computation time significantly. The movement in three-dimensional space thus can be modeled by the deformation undergone by the object during the specified time instants, a rotation about a fixed axis passing through its centroid, and a translation. The goal is to estimate the generalized motion parameters (i.e. deformation, rotation, and translational components) with as little information (i.e. point/line correspondence) as possible from the data.<<ETX>>","PeriodicalId":256287,"journal":{"name":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Motion analysis of a deformable object using subset correspondence\",\"authors\":\"S. Chaudhuri, S. Chatterjee\",\"doi\":\"10.1109/PACRIM.1989.48362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is proposed to estimate generalized three-dimensional motion parameters for a deformable object using only subset correspondences between two successive time frames, eliminating a major preprocessing step. Only a small amount of information has to be processed, reducing the computation time significantly. The movement in three-dimensional space thus can be modeled by the deformation undergone by the object during the specified time instants, a rotation about a fixed axis passing through its centroid, and a translation. The goal is to estimate the generalized motion parameters (i.e. deformation, rotation, and translational components) with as little information (i.e. point/line correspondence) as possible from the data.<<ETX>>\",\"PeriodicalId\":256287,\"journal\":{\"name\":\"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.1989.48362\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1989.48362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion analysis of a deformable object using subset correspondence
A method is proposed to estimate generalized three-dimensional motion parameters for a deformable object using only subset correspondences between two successive time frames, eliminating a major preprocessing step. Only a small amount of information has to be processed, reducing the computation time significantly. The movement in three-dimensional space thus can be modeled by the deformation undergone by the object during the specified time instants, a rotation about a fixed axis passing through its centroid, and a translation. The goal is to estimate the generalized motion parameters (i.e. deformation, rotation, and translational components) with as little information (i.e. point/line correspondence) as possible from the data.<>