{"title":"基于传感器融合的交互式目标识别","authors":"L. Czúni, Metwally Rashad","doi":"10.1109/COGINFOCOM.2015.7390640","DOIUrl":null,"url":null,"abstract":"A new approach for lightweight video-based object recognition is introduced where a user moves a camera around a target object of interest. The extraction of image features and the retrieval algorithm is running in a lightweight mobile computer (tablet or phone). We apply a view based model of the objects and the matching of the query and candidate images is based on compact image descriptors coupled with relative orientation.","PeriodicalId":377891,"journal":{"name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interactive object recognition with sensor fusion\",\"authors\":\"L. Czúni, Metwally Rashad\",\"doi\":\"10.1109/COGINFOCOM.2015.7390640\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new approach for lightweight video-based object recognition is introduced where a user moves a camera around a target object of interest. The extraction of image features and the retrieval algorithm is running in a lightweight mobile computer (tablet or phone). We apply a view based model of the objects and the matching of the query and candidate images is based on compact image descriptors coupled with relative orientation.\",\"PeriodicalId\":377891,\"journal\":{\"name\":\"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGINFOCOM.2015.7390640\",\"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 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGINFOCOM.2015.7390640","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new approach for lightweight video-based object recognition is introduced where a user moves a camera around a target object of interest. The extraction of image features and the retrieval algorithm is running in a lightweight mobile computer (tablet or phone). We apply a view based model of the objects and the matching of the query and candidate images is based on compact image descriptors coupled with relative orientation.