{"title":"修改了从一个对象的多个视图进行3D重建的自动校准","authors":"Sunando Sengupta, Sukhendu Das","doi":"10.1109/TENCON.2008.4766396","DOIUrl":null,"url":null,"abstract":"This paper explores the problem of Auto-calibration in 3-D reconstruction of an object from multiple images. Uncalibrated reconstruction, from a set of images taken from any ordinary CCD camera is complicated and difficult due to the presence of non-linear constraints on the scene. Any linear solution suffers from numerical instability or requires additional scene and camera information to be provided. We here present a method of 3-D reconstruction of an object which works without any additional camera parameters by modification of Auto-calibration procedure. The DIAC, computed by the Auto-calibration method is not always positive-definite and metric reconstruction cannot be performed. We approximate DIAC by its covariance square-root, guaranteeing its positive definiteness. This is compared with a few other closest positive definite solutions using a rigidity constraint, and is found to be quite satisfactory.","PeriodicalId":22230,"journal":{"name":"TENCON 2008 - 2008 IEEE Region 10 Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Modified auto-calibration for 3D reconstruction from multiple views of an object\",\"authors\":\"Sunando Sengupta, Sukhendu Das\",\"doi\":\"10.1109/TENCON.2008.4766396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper explores the problem of Auto-calibration in 3-D reconstruction of an object from multiple images. Uncalibrated reconstruction, from a set of images taken from any ordinary CCD camera is complicated and difficult due to the presence of non-linear constraints on the scene. Any linear solution suffers from numerical instability or requires additional scene and camera information to be provided. We here present a method of 3-D reconstruction of an object which works without any additional camera parameters by modification of Auto-calibration procedure. The DIAC, computed by the Auto-calibration method is not always positive-definite and metric reconstruction cannot be performed. We approximate DIAC by its covariance square-root, guaranteeing its positive definiteness. This is compared with a few other closest positive definite solutions using a rigidity constraint, and is found to be quite satisfactory.\",\"PeriodicalId\":22230,\"journal\":{\"name\":\"TENCON 2008 - 2008 IEEE Region 10 Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"TENCON 2008 - 2008 IEEE Region 10 Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON.2008.4766396\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"TENCON 2008 - 2008 IEEE Region 10 Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2008.4766396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modified auto-calibration for 3D reconstruction from multiple views of an object
This paper explores the problem of Auto-calibration in 3-D reconstruction of an object from multiple images. Uncalibrated reconstruction, from a set of images taken from any ordinary CCD camera is complicated and difficult due to the presence of non-linear constraints on the scene. Any linear solution suffers from numerical instability or requires additional scene and camera information to be provided. We here present a method of 3-D reconstruction of an object which works without any additional camera parameters by modification of Auto-calibration procedure. The DIAC, computed by the Auto-calibration method is not always positive-definite and metric reconstruction cannot be performed. We approximate DIAC by its covariance square-root, guaranteeing its positive definiteness. This is compared with a few other closest positive definite solutions using a rigidity constraint, and is found to be quite satisfactory.