{"title":"曲面轮廓和曲面重建","authors":"E. Arbogast, R. Mohr","doi":"10.1109/CVPR.1992.223191","DOIUrl":null,"url":null,"abstract":"The observation of curved contours in image sequences is used in egomotion estimation and in surface reconstruction. An egomotion technique that can be applied when no point or straight line correspondences are available is presented. It generalizes egomotion to the case of arbitrarily shaped contours, which is especially valuable in the case of nonpolyhedral objects. The computation uses a very simple finite differences scheme and quickly provides a good estimation of the motion parameters. Experiments conducted on synthetic and real data show the validity of the approach.<<ETX>>","PeriodicalId":325476,"journal":{"name":"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Curved contours and surface reconstruction\",\"authors\":\"E. Arbogast, R. Mohr\",\"doi\":\"10.1109/CVPR.1992.223191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The observation of curved contours in image sequences is used in egomotion estimation and in surface reconstruction. An egomotion technique that can be applied when no point or straight line correspondences are available is presented. It generalizes egomotion to the case of arbitrarily shaped contours, which is especially valuable in the case of nonpolyhedral objects. The computation uses a very simple finite differences scheme and quickly provides a good estimation of the motion parameters. Experiments conducted on synthetic and real data show the validity of the approach.<<ETX>>\",\"PeriodicalId\":325476,\"journal\":{\"name\":\"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVPR.1992.223191\",\"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 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVPR.1992.223191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The observation of curved contours in image sequences is used in egomotion estimation and in surface reconstruction. An egomotion technique that can be applied when no point or straight line correspondences are available is presented. It generalizes egomotion to the case of arbitrarily shaped contours, which is especially valuable in the case of nonpolyhedral objects. The computation uses a very simple finite differences scheme and quickly provides a good estimation of the motion parameters. Experiments conducted on synthetic and real data show the validity of the approach.<>