{"title":"图像解译中不确定性解决的约束满足方法","authors":"P. Cullen, J. H. Hull, S. Srihari","doi":"10.1109/CAIA.1992.200020","DOIUrl":null,"url":null,"abstract":"A technique for image interpretation based on the constraint satisfaction methodology is described. The technique uses an intelligent backtracking algorithm to solve the constraint satisfaction problem and also analyzes failures of the backtracking routine to suggest modifications to help locate a solution. This technique is able to overcome uncertainties in image interpretation by generating partial solutions and inferring values for the missing objects. An outline of this processing is presented and an application of this technique is also given. The technique is compared to another approach in the same domain. Preliminary results on over 1000 test images are included.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"A constraint satisfaction approach to the resolution of uncertainty in image interpretation\",\"authors\":\"P. Cullen, J. H. Hull, S. Srihari\",\"doi\":\"10.1109/CAIA.1992.200020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A technique for image interpretation based on the constraint satisfaction methodology is described. The technique uses an intelligent backtracking algorithm to solve the constraint satisfaction problem and also analyzes failures of the backtracking routine to suggest modifications to help locate a solution. This technique is able to overcome uncertainties in image interpretation by generating partial solutions and inferring values for the missing objects. An outline of this processing is presented and an application of this technique is also given. The technique is compared to another approach in the same domain. Preliminary results on over 1000 test images are included.<<ETX>>\",\"PeriodicalId\":388685,\"journal\":{\"name\":\"Proceedings Eighth Conference on Artificial Intelligence for Applications\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth Conference on Artificial Intelligence for Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAIA.1992.200020\",\"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 Eighth Conference on Artificial Intelligence for Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIA.1992.200020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A constraint satisfaction approach to the resolution of uncertainty in image interpretation
A technique for image interpretation based on the constraint satisfaction methodology is described. The technique uses an intelligent backtracking algorithm to solve the constraint satisfaction problem and also analyzes failures of the backtracking routine to suggest modifications to help locate a solution. This technique is able to overcome uncertainties in image interpretation by generating partial solutions and inferring values for the missing objects. An outline of this processing is presented and an application of this technique is also given. The technique is compared to another approach in the same domain. Preliminary results on over 1000 test images are included.<>
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
