{"title":"图像测量中亚像素目标定位研究进展","authors":"Xiaojia Wang, Jun Gao, Lei Wang","doi":"10.1109/ICIA.2004.1373398","DOIUrl":null,"url":null,"abstract":"Subpixel object localization plays the key role to advance the precision of image measurement system. In this paper, the main idea of the subpixel algorithm and the imaging process as the physical background, is introduced first. Then various subpixel algorithms classified by their location object are analyzed. In the end of paper, the research and prospect of subpixel is proposed.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A survey of subpixel object localization for image measurement\",\"authors\":\"Xiaojia Wang, Jun Gao, Lei Wang\",\"doi\":\"10.1109/ICIA.2004.1373398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Subpixel object localization plays the key role to advance the precision of image measurement system. In this paper, the main idea of the subpixel algorithm and the imaging process as the physical background, is introduced first. Then various subpixel algorithms classified by their location object are analyzed. In the end of paper, the research and prospect of subpixel is proposed.\",\"PeriodicalId\":297178,\"journal\":{\"name\":\"International Conference on Information Acquisition, 2004. Proceedings.\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Acquisition, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIA.2004.1373398\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Acquisition, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2004.1373398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A survey of subpixel object localization for image measurement
Subpixel object localization plays the key role to advance the precision of image measurement system. In this paper, the main idea of the subpixel algorithm and the imaging process as the physical background, is introduced first. Then various subpixel algorithms classified by their location object are analyzed. In the end of paper, the research and prospect of subpixel is proposed.
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