{"title":"基于模型的匹配的图形索引机制","authors":"W. Grosky, Peter Neo, R. Mehrotra","doi":"10.1109/ICDE.1989.47213","DOIUrl":null,"url":null,"abstract":"An external index mechanism for generating hypotheses in a data-driven object recognition system has been designed, implemented, and tested. The index serves to improve the speed of recognizing objects in a scene. A secondary memory implementation of this approach is discussed. The philosophy behind the present conception of image databases is quite different from that of other researchers in that image interpretation is relied on as the backbone of this approach.<<ETX>>","PeriodicalId":329505,"journal":{"name":"[1989] Proceedings. Fifth International Conference on Data Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"81","resultStr":"{\"title\":\"A pictorial index mechanism for model-based matching\",\"authors\":\"W. Grosky, Peter Neo, R. Mehrotra\",\"doi\":\"10.1109/ICDE.1989.47213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An external index mechanism for generating hypotheses in a data-driven object recognition system has been designed, implemented, and tested. The index serves to improve the speed of recognizing objects in a scene. A secondary memory implementation of this approach is discussed. The philosophy behind the present conception of image databases is quite different from that of other researchers in that image interpretation is relied on as the backbone of this approach.<<ETX>>\",\"PeriodicalId\":329505,\"journal\":{\"name\":\"[1989] Proceedings. Fifth International Conference on Data Engineering\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"81\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings. Fifth International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1989.47213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings. Fifth International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1989.47213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A pictorial index mechanism for model-based matching
An external index mechanism for generating hypotheses in a data-driven object recognition system has been designed, implemented, and tested. The index serves to improve the speed of recognizing objects in a scene. A secondary memory implementation of this approach is discussed. The philosophy behind the present conception of image databases is quite different from that of other researchers in that image interpretation is relied on as the backbone of this approach.<>
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