{"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}
引用次数: 3
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.
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