{"title":"基于增强现实技术的作战支撑系统","authors":"Tatsuya Osawa, J. Shimamura, Y. Taniguchi","doi":"10.1109/COMPSAC.2014.88","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel operation support system that utilizes the latest Augmented Reality (AR) technology. Our system consists of a tablet device equipped with a camera. The system automatically recognizes an appliance by reading a QR code captured by the camera and estimates the relative position and orientation between the appliance and the camera in real-time to augment the guidance information to the appliance. Experiments show that our system can stably track camera movement and augment guidance information.","PeriodicalId":106871,"journal":{"name":"2014 IEEE 38th Annual Computer Software and Applications Conference","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Operation Support System Based on Augmented Reality Technology\",\"authors\":\"Tatsuya Osawa, J. Shimamura, Y. Taniguchi\",\"doi\":\"10.1109/COMPSAC.2014.88\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a novel operation support system that utilizes the latest Augmented Reality (AR) technology. Our system consists of a tablet device equipped with a camera. The system automatically recognizes an appliance by reading a QR code captured by the camera and estimates the relative position and orientation between the appliance and the camera in real-time to augment the guidance information to the appliance. Experiments show that our system can stably track camera movement and augment guidance information.\",\"PeriodicalId\":106871,\"journal\":{\"name\":\"2014 IEEE 38th Annual Computer Software and Applications Conference\",\"volume\":\"130 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 38th Annual Computer Software and Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPSAC.2014.88\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 38th Annual Computer Software and Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC.2014.88","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Operation Support System Based on Augmented Reality Technology
In this paper, we propose a novel operation support system that utilizes the latest Augmented Reality (AR) technology. Our system consists of a tablet device equipped with a camera. The system automatically recognizes an appliance by reading a QR code captured by the camera and estimates the relative position and orientation between the appliance and the camera in real-time to augment the guidance information to the appliance. Experiments show that our system can stably track camera movement and augment guidance information.