{"title":"一种新的基于物体形状的归一化识别与定位方法","authors":"Behrang Moradi, H. Abdulrahman, Baptiste Magnier","doi":"10.1049/CP.2019.0246","DOIUrl":null,"url":null,"abstract":"This paper introduces a new normalized measure for the assessment of a contour-based object pose. This algorithm allows a supervised assessment of recognition and localization of known objects, the differences between a reference edge map and a candidate image are quantified by computing a performance measure. This measure is normalized and is able determine the degree to which an object shape differs from a desired position. Compared to 6 other approaches, experiments on real images at different sizes/scales exhibit the suitability of the new method for an object pose or shape matching estimation.","PeriodicalId":397398,"journal":{"name":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A New Normalized Method of Object Shape-based Recognition and Localization\",\"authors\":\"Behrang Moradi, H. Abdulrahman, Baptiste Magnier\",\"doi\":\"10.1049/CP.2019.0246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a new normalized measure for the assessment of a contour-based object pose. This algorithm allows a supervised assessment of recognition and localization of known objects, the differences between a reference edge map and a candidate image are quantified by computing a performance measure. This measure is normalized and is able determine the degree to which an object shape differs from a desired position. Compared to 6 other approaches, experiments on real images at different sizes/scales exhibit the suitability of the new method for an object pose or shape matching estimation.\",\"PeriodicalId\":397398,\"journal\":{\"name\":\"10th International Conference on Pattern Recognition Systems (ICPRS-2019)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"10th International Conference on Pattern Recognition Systems (ICPRS-2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/CP.2019.0246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"10th International Conference on Pattern Recognition Systems (ICPRS-2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/CP.2019.0246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Normalized Method of Object Shape-based Recognition and Localization
This paper introduces a new normalized measure for the assessment of a contour-based object pose. This algorithm allows a supervised assessment of recognition and localization of known objects, the differences between a reference edge map and a candidate image are quantified by computing a performance measure. This measure is normalized and is able determine the degree to which an object shape differs from a desired position. Compared to 6 other approaches, experiments on real images at different sizes/scales exhibit the suitability of the new method for an object pose or shape matching estimation.
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