J. Cooper, Mihailo Azhar, Trevor Gee, W. V. D. Mark, P. Delmas, G. Gimel'farb
{"title":"基于树莓派2的立体相机测深仪","authors":"J. Cooper, Mihailo Azhar, Trevor Gee, W. V. D. Mark, P. Delmas, G. Gimel'farb","doi":"10.23919/MVA.2017.7986854","DOIUrl":null,"url":null,"abstract":"The Raspberry Pi single-board computer is a low cost, light weight system with small power requirements. It is an attractive embedded computer vision solution for many applications, including that of UAVs. Here, we focus on the Raspberry Pi 2 and demonstrate that, with the addition of a multiplexer and two camera modules, it is able to execute a full stereo matching pipeline, making it a suitable depth metering device for UAV usage. Our experimental results demonstrate that the proposed configuration is capable of performing reasonably accurate depth estimation for a system moving at a rate of 1 ms−1 when in good lighting conditions.","PeriodicalId":193716,"journal":{"name":"2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Raspberry Pi 2-based stereo camera depth meter\",\"authors\":\"J. Cooper, Mihailo Azhar, Trevor Gee, W. V. D. Mark, P. Delmas, G. Gimel'farb\",\"doi\":\"10.23919/MVA.2017.7986854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Raspberry Pi single-board computer is a low cost, light weight system with small power requirements. It is an attractive embedded computer vision solution for many applications, including that of UAVs. Here, we focus on the Raspberry Pi 2 and demonstrate that, with the addition of a multiplexer and two camera modules, it is able to execute a full stereo matching pipeline, making it a suitable depth metering device for UAV usage. Our experimental results demonstrate that the proposed configuration is capable of performing reasonably accurate depth estimation for a system moving at a rate of 1 ms−1 when in good lighting conditions.\",\"PeriodicalId\":193716,\"journal\":{\"name\":\"2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/MVA.2017.7986854\",\"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 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/MVA.2017.7986854","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Raspberry Pi single-board computer is a low cost, light weight system with small power requirements. It is an attractive embedded computer vision solution for many applications, including that of UAVs. Here, we focus on the Raspberry Pi 2 and demonstrate that, with the addition of a multiplexer and two camera modules, it is able to execute a full stereo matching pipeline, making it a suitable depth metering device for UAV usage. Our experimental results demonstrate that the proposed configuration is capable of performing reasonably accurate depth estimation for a system moving at a rate of 1 ms−1 when in good lighting conditions.