{"title":"一种基于LG图的不完整对象表示监控方案","authors":"Michael Robberloth, N. Bourbakis","doi":"10.1109/NAECON.2015.7443078","DOIUrl":null,"url":null,"abstract":"One of the challenging problems in the field of Objects Recognition is the incomplete appearance of objects and the need to make a guess or a decision about the existence of such objects. There are several research efforts to this direction, mainly based on models from the estimation theory. This paper we present an alternative approach based on the use of a geometrically focused image processing method, the LG Algorithm, when simple objects are partially objects and the results from the application of such an algorithm.","PeriodicalId":133804,"journal":{"name":"2015 National Aerospace and Electronics Conference (NAECON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An LG graph based monitoring scheme for representing incomplete objects\",\"authors\":\"Michael Robberloth, N. Bourbakis\",\"doi\":\"10.1109/NAECON.2015.7443078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the challenging problems in the field of Objects Recognition is the incomplete appearance of objects and the need to make a guess or a decision about the existence of such objects. There are several research efforts to this direction, mainly based on models from the estimation theory. This paper we present an alternative approach based on the use of a geometrically focused image processing method, the LG Algorithm, when simple objects are partially objects and the results from the application of such an algorithm.\",\"PeriodicalId\":133804,\"journal\":{\"name\":\"2015 National Aerospace and Electronics Conference (NAECON)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 National Aerospace and Electronics Conference (NAECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAECON.2015.7443078\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 National Aerospace and Electronics Conference (NAECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAECON.2015.7443078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An LG graph based monitoring scheme for representing incomplete objects
One of the challenging problems in the field of Objects Recognition is the incomplete appearance of objects and the need to make a guess or a decision about the existence of such objects. There are several research efforts to this direction, mainly based on models from the estimation theory. This paper we present an alternative approach based on the use of a geometrically focused image processing method, the LG Algorithm, when simple objects are partially objects and the results from the application of such an algorithm.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
