{"title":"基于RGB-D传感器的面包识别系统","authors":"M. Morimoto, Akira Higasa","doi":"10.1109/ICIEV.2015.7334051","DOIUrl":null,"url":null,"abstract":"To improve object recognition accuracy, we introduce RGB-D sensor to get depth features and we construct two-stage recognition which combine recognition method with different characteristics. Experimental result show that the combination of these two refinement is effective to distinguish similar objects.","PeriodicalId":367355,"journal":{"name":"2015 International Conference on Informatics, Electronics & Vision (ICIEV)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A bread recognition system using RGB-D sensor\",\"authors\":\"M. Morimoto, Akira Higasa\",\"doi\":\"10.1109/ICIEV.2015.7334051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve object recognition accuracy, we introduce RGB-D sensor to get depth features and we construct two-stage recognition which combine recognition method with different characteristics. Experimental result show that the combination of these two refinement is effective to distinguish similar objects.\",\"PeriodicalId\":367355,\"journal\":{\"name\":\"2015 International Conference on Informatics, Electronics & Vision (ICIEV)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Informatics, Electronics & Vision (ICIEV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIEV.2015.7334051\",\"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 International Conference on Informatics, Electronics & Vision (ICIEV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEV.2015.7334051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To improve object recognition accuracy, we introduce RGB-D sensor to get depth features and we construct two-stage recognition which combine recognition method with different characteristics. Experimental result show that the combination of these two refinement is effective to distinguish similar objects.
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