{"title":"一种基于最长路径搜索的目标识别与定位新方法","authors":"Fatia Boussofiane, Gilles Bertrand","doi":"10.1109/ICPR.1992.201596","DOIUrl":null,"url":null,"abstract":"Presents a new method for recognizing and locating an object in an image. The contours of the shapes are described by line segments. The basic idea consists in generating paths in a table where the columns represent the model segments and the rows the scene segments. Each path represents a matching between a part of the model contour and a part of the scene contour. The longest path is considered as the best match.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new method for recognizing and locating objects by searching longest paths\",\"authors\":\"Fatia Boussofiane, Gilles Bertrand\",\"doi\":\"10.1109/ICPR.1992.201596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presents a new method for recognizing and locating an object in an image. The contours of the shapes are described by line segments. The basic idea consists in generating paths in a table where the columns represent the model segments and the rows the scene segments. Each path represents a matching between a part of the model contour and a part of the scene contour. The longest path is considered as the best match.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new method for recognizing and locating objects by searching longest paths
Presents a new method for recognizing and locating an object in an image. The contours of the shapes are described by line segments. The basic idea consists in generating paths in a table where the columns represent the model segments and the rows the scene segments. Each path represents a matching between a part of the model contour and a part of the scene contour. The longest path is considered as the best match.<>