{"title":"基于知识的理解道路地图和其他线路图像","authors":"M. Ilg","doi":"10.1109/ICPR.1990.118113","DOIUrl":null,"url":null,"abstract":"It is shown that the understanding of documents in general and of line drawings in particular can be seen as a first step towards the the understanding of arbitrary scenes by making effective use of methods from artificial intelligence. The starting point is a set of domain-independent linear image primitives which define a line graph. After the removal of artifacts the recognition of meaningful complex structures is accomplished in several steps with the aid of a growing amount of domain-specific knowledge. Further scene knowledge controls the deployment of the various operators to arrive at a consistent interpretation throughout the scene. The selection of the object-oriented programming paradigm proved to be very effective.<<ETX>>","PeriodicalId":135937,"journal":{"name":"[1990] Proceedings. 10th International Conference on Pattern Recognition","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Knowledge-based understanding of road maps and other line images\",\"authors\":\"M. Ilg\",\"doi\":\"10.1109/ICPR.1990.118113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is shown that the understanding of documents in general and of line drawings in particular can be seen as a first step towards the the understanding of arbitrary scenes by making effective use of methods from artificial intelligence. The starting point is a set of domain-independent linear image primitives which define a line graph. After the removal of artifacts the recognition of meaningful complex structures is accomplished in several steps with the aid of a growing amount of domain-specific knowledge. Further scene knowledge controls the deployment of the various operators to arrive at a consistent interpretation throughout the scene. The selection of the object-oriented programming paradigm proved to be very effective.<<ETX>>\",\"PeriodicalId\":135937,\"journal\":{\"name\":\"[1990] Proceedings. 10th International Conference on Pattern Recognition\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1990] Proceedings. 10th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1990.118113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990] Proceedings. 10th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1990.118113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Knowledge-based understanding of road maps and other line images
It is shown that the understanding of documents in general and of line drawings in particular can be seen as a first step towards the the understanding of arbitrary scenes by making effective use of methods from artificial intelligence. The starting point is a set of domain-independent linear image primitives which define a line graph. After the removal of artifacts the recognition of meaningful complex structures is accomplished in several steps with the aid of a growing amount of domain-specific knowledge. Further scene knowledge controls the deployment of the various operators to arrive at a consistent interpretation throughout the scene. The selection of the object-oriented programming paradigm proved to be very effective.<>