J. Labiche, J. Ogier, R. Kocik, P. Santraine, R. Mullot, J. Caston
{"title":"人类视觉感知原理可用于构建智能模式识别软件:在法国地图判读中的应用","authors":"J. Labiche, J. Ogier, R. Kocik, P. Santraine, R. Mullot, J. Caston","doi":"10.1109/ROMAN.1993.367735","DOIUrl":null,"url":null,"abstract":"This paper deals with a cadastral map interpretation device. Our approach to solve this problem is based on vectorizing the image by extracting the lowest information level. It then reconstructs real cadastral entities, such as parcels, hatched parcels (buildings), blocks and roads, using the knowledge of the cadastral map. We adopt the fixed 2D object visual perception strategy.<<ETX>>","PeriodicalId":270591,"journal":{"name":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","volume":"63 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Human visual perception principles may be used to build intelligent pattern recognition softwares: application to French map interpretation\",\"authors\":\"J. Labiche, J. Ogier, R. Kocik, P. Santraine, R. Mullot, J. Caston\",\"doi\":\"10.1109/ROMAN.1993.367735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with a cadastral map interpretation device. Our approach to solve this problem is based on vectorizing the image by extracting the lowest information level. It then reconstructs real cadastral entities, such as parcels, hatched parcels (buildings), blocks and roads, using the knowledge of the cadastral map. We adopt the fixed 2D object visual perception strategy.<<ETX>>\",\"PeriodicalId\":270591,\"journal\":{\"name\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"volume\":\"63 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROMAN.1993.367735\",\"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 of 1993 2nd IEEE International Workshop on Robot and Human Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.1993.367735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Human visual perception principles may be used to build intelligent pattern recognition softwares: application to French map interpretation
This paper deals with a cadastral map interpretation device. Our approach to solve this problem is based on vectorizing the image by extracting the lowest information level. It then reconstructs real cadastral entities, such as parcels, hatched parcels (buildings), blocks and roads, using the knowledge of the cadastral map. We adopt the fixed 2D object visual perception strategy.<>