{"title":"一种基于形状相似性的对称度量","authors":"H. Hel-Or, Shmuel Peleg, D. Avnir","doi":"10.1109/CVPR.1992.223196","DOIUrl":null,"url":null,"abstract":"The authors view symmetry as a continuous feature, and define a continuous symmetry measure (CSM) of shapes. The general definition of symmetry measure allows a comparison of the amount of symmetry of different shapes and the amount of different symmetries of a single shape. Furthermore, the CSM is associated with the symmetric shape that is closest to the given one, enabling visual evaluation of the CSM.<<ETX>>","PeriodicalId":325476,"journal":{"name":"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"52","resultStr":"{\"title\":\"A measure of symmetry based on shape similarity\",\"authors\":\"H. Hel-Or, Shmuel Peleg, D. Avnir\",\"doi\":\"10.1109/CVPR.1992.223196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors view symmetry as a continuous feature, and define a continuous symmetry measure (CSM) of shapes. The general definition of symmetry measure allows a comparison of the amount of symmetry of different shapes and the amount of different symmetries of a single shape. Furthermore, the CSM is associated with the symmetric shape that is closest to the given one, enabling visual evaluation of the CSM.<<ETX>>\",\"PeriodicalId\":325476,\"journal\":{\"name\":\"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"52\",\"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.1992.223196\",\"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.1992.223196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The authors view symmetry as a continuous feature, and define a continuous symmetry measure (CSM) of shapes. The general definition of symmetry measure allows a comparison of the amount of symmetry of different shapes and the amount of different symmetries of a single shape. Furthermore, the CSM is associated with the symmetric shape that is closest to the given one, enabling visual evaluation of the CSM.<>