{"title":"被动导航使用焦点展开","authors":"A. Branca, E. Stella, A. Distante","doi":"10.1109/ACV.1996.572001","DOIUrl":null,"url":null,"abstract":"The goal of this work is to propose a method to solve the problem of passive navigation with visual means. The method is a two stage approach: matching of feature extracted from 2D images of a sequence at different times and egomotion parameter computation. Both algorithms are based on a least-square-error technique to minimize appropriate energy functions. Experimental results obtained in real context show the robustness of the method.","PeriodicalId":222106,"journal":{"name":"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Passive navigation using focus of expansion\",\"authors\":\"A. Branca, E. Stella, A. Distante\",\"doi\":\"10.1109/ACV.1996.572001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The goal of this work is to propose a method to solve the problem of passive navigation with visual means. The method is a two stage approach: matching of feature extracted from 2D images of a sequence at different times and egomotion parameter computation. Both algorithms are based on a least-square-error technique to minimize appropriate energy functions. Experimental results obtained in real context show the robustness of the method.\",\"PeriodicalId\":222106,\"journal\":{\"name\":\"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACV.1996.572001\",\"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 Third IEEE Workshop on Applications of Computer Vision. WACV'96","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACV.1996.572001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The goal of this work is to propose a method to solve the problem of passive navigation with visual means. The method is a two stage approach: matching of feature extracted from 2D images of a sequence at different times and egomotion parameter computation. Both algorithms are based on a least-square-error technique to minimize appropriate energy functions. Experimental results obtained in real context show the robustness of the method.
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