{"title":"用复眼相机估计物体","authors":"Hwiyeon Yoo, Donghoon Lee, Geonho Cha, Songhwai Oh","doi":"10.1109/MFI.2017.8170418","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce a new hardware platform that mimics a compound eye of an insect and propose an algorithm to detect objects using it. The compound eye camera has a wide viewing angle and simulates a number of single eyes on its hemisphere. Each single eye is an elementary unit to acquire visual inputs. Visual information from single eyes is hierarchically merged to estimate objectness. We achieve the accuracy of 77.14% on a combined dataset of PASCAL VOC 2012 and COCO-Stuff 10K databases.","PeriodicalId":402371,"journal":{"name":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Estimating objectness using a compound eye camera\",\"authors\":\"Hwiyeon Yoo, Donghoon Lee, Geonho Cha, Songhwai Oh\",\"doi\":\"10.1109/MFI.2017.8170418\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce a new hardware platform that mimics a compound eye of an insect and propose an algorithm to detect objects using it. The compound eye camera has a wide viewing angle and simulates a number of single eyes on its hemisphere. Each single eye is an elementary unit to acquire visual inputs. Visual information from single eyes is hierarchically merged to estimate objectness. We achieve the accuracy of 77.14% on a combined dataset of PASCAL VOC 2012 and COCO-Stuff 10K databases.\",\"PeriodicalId\":402371,\"journal\":{\"name\":\"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI.2017.8170418\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.2017.8170418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we introduce a new hardware platform that mimics a compound eye of an insect and propose an algorithm to detect objects using it. The compound eye camera has a wide viewing angle and simulates a number of single eyes on its hemisphere. Each single eye is an elementary unit to acquire visual inputs. Visual information from single eyes is hierarchically merged to estimate objectness. We achieve the accuracy of 77.14% on a combined dataset of PASCAL VOC 2012 and COCO-Stuff 10K databases.
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