{"title":"图像序列中灰度角点匹配的新进展","authors":"J. Li, S. Sang","doi":"10.1109/MDSP.1989.96991","DOIUrl":null,"url":null,"abstract":"Summary form only given. Matching approaches are considered, and the problems with correlation matching, namely how the size and shape of the window and the property of the correlation function are selected and the high cost of searching for the maximum in the detectable region, are discussed. A highly efficient matching method that addresses these problems is discussed.<<ETX>>","PeriodicalId":340681,"journal":{"name":"Sixth Multidimensional Signal Processing Workshop,","volume":"294 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The new advance on matching the gray value corners in image sequences\",\"authors\":\"J. Li, S. Sang\",\"doi\":\"10.1109/MDSP.1989.96991\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. Matching approaches are considered, and the problems with correlation matching, namely how the size and shape of the window and the property of the correlation function are selected and the high cost of searching for the maximum in the detectable region, are discussed. A highly efficient matching method that addresses these problems is discussed.<<ETX>>\",\"PeriodicalId\":340681,\"journal\":{\"name\":\"Sixth Multidimensional Signal Processing Workshop,\",\"volume\":\"294 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sixth Multidimensional Signal Processing Workshop,\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MDSP.1989.96991\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sixth Multidimensional Signal Processing Workshop,","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MDSP.1989.96991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The new advance on matching the gray value corners in image sequences
Summary form only given. Matching approaches are considered, and the problems with correlation matching, namely how the size and shape of the window and the property of the correlation function are selected and the high cost of searching for the maximum in the detectable region, are discussed. A highly efficient matching method that addresses these problems is discussed.<>