{"title":"直接运动立体被动导航","authors":"S. Negahdaripour, B. Hayashi, Y. Aloimonos","doi":"10.1109/CVPR.1992.223155","DOIUrl":null,"url":null,"abstract":"The problem of motion recovery for a head-eye system from stereo image sequences is addressed. Two types of motions, the translation of the vehicle and the panning motion of the head, are considered. It is shown how these motions and the depth map can be estimated directly from the measurements of image gradients and time derivatives. There is no need to estimate image motion, track a scene feature over time, or establish point correspondences in a stereo image pair. The results of various experiments with real scenes are presented.<<ETX>>","PeriodicalId":325476,"journal":{"name":"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Direct motion stereo for passive navigation\",\"authors\":\"S. Negahdaripour, B. Hayashi, Y. Aloimonos\",\"doi\":\"10.1109/CVPR.1992.223155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of motion recovery for a head-eye system from stereo image sequences is addressed. Two types of motions, the translation of the vehicle and the panning motion of the head, are considered. It is shown how these motions and the depth map can be estimated directly from the measurements of image gradients and time derivatives. There is no need to estimate image motion, track a scene feature over time, or establish point correspondences in a stereo image pair. The results of various experiments with real scenes are presented.<<ETX>>\",\"PeriodicalId\":325476,\"journal\":{\"name\":\"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVPR.1992.223155\",\"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 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVPR.1992.223155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The problem of motion recovery for a head-eye system from stereo image sequences is addressed. Two types of motions, the translation of the vehicle and the panning motion of the head, are considered. It is shown how these motions and the depth map can be estimated directly from the measurements of image gradients and time derivatives. There is no need to estimate image motion, track a scene feature over time, or establish point correspondences in a stereo image pair. The results of various experiments with real scenes are presented.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
