{"title":"从一系列红外图像中学习、识别和导航","authors":"Nicolas Milhaud, G. Medioni","doi":"10.1109/ICPR.1994.576457","DOIUrl":null,"url":null,"abstract":"We address the problem in which an autonomous system equipped with a single infrared camera \"learns\" a designated rigid 3D scene so that, at another time, it can recognize it and guide itself relative to the reconstructed scene, starting from an approximately known viewpoint, to reach a give destination. This scenario is relevant to several domains, in particular military missions and robotic navigation. The goal of our system is to realise a real-time implementation (on special hardware). In this paper, we describe the software version of such an automated system and show results on real infrared images.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"271 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Learning, recognition and navigation from a sequence of infrared images\",\"authors\":\"Nicolas Milhaud, G. Medioni\",\"doi\":\"10.1109/ICPR.1994.576457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the problem in which an autonomous system equipped with a single infrared camera \\\"learns\\\" a designated rigid 3D scene so that, at another time, it can recognize it and guide itself relative to the reconstructed scene, starting from an approximately known viewpoint, to reach a give destination. This scenario is relevant to several domains, in particular military missions and robotic navigation. The goal of our system is to realise a real-time implementation (on special hardware). In this paper, we describe the software version of such an automated system and show results on real infrared images.\",\"PeriodicalId\":312019,\"journal\":{\"name\":\"Proceedings of 12th International Conference on Pattern Recognition\",\"volume\":\"271 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 12th International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1994.576457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 12th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1994.576457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Learning, recognition and navigation from a sequence of infrared images
We address the problem in which an autonomous system equipped with a single infrared camera "learns" a designated rigid 3D scene so that, at another time, it can recognize it and guide itself relative to the reconstructed scene, starting from an approximately known viewpoint, to reach a give destination. This scenario is relevant to several domains, in particular military missions and robotic navigation. The goal of our system is to realise a real-time implementation (on special hardware). In this paper, we describe the software version of such an automated system and show results on real infrared images.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
