{"title":"一般相机模型的在线/实时结构和运动","authors":"G. Schweighofer, Sinisa Segvic, A. Pinz","doi":"10.1109/WACV.2008.4544016","DOIUrl":null,"url":null,"abstract":"This paper presents a novel algorithm for online structure and motion estimation. The algorithm works for general camera models and minimizes object space error, it does not rely on gradient-based optimization, and it is provably globally convergent. In comparison to previous work, which reports cubic complexity in the number of frames, our major contribution is a significant reduction of complexity. The new algorithm requires constant time per frame and can thus be used in online applications. Experimental results show high reconstruction accuracy with respect to simulated ground truth data. We also present two applications in artificial marker reconstruction and handheld augmented reality.","PeriodicalId":439571,"journal":{"name":"2008 IEEE Workshop on Applications of Computer Vision","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Online/Realtime Structure and Motion for General Camera Models\",\"authors\":\"G. Schweighofer, Sinisa Segvic, A. Pinz\",\"doi\":\"10.1109/WACV.2008.4544016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a novel algorithm for online structure and motion estimation. The algorithm works for general camera models and minimizes object space error, it does not rely on gradient-based optimization, and it is provably globally convergent. In comparison to previous work, which reports cubic complexity in the number of frames, our major contribution is a significant reduction of complexity. The new algorithm requires constant time per frame and can thus be used in online applications. Experimental results show high reconstruction accuracy with respect to simulated ground truth data. We also present two applications in artificial marker reconstruction and handheld augmented reality.\",\"PeriodicalId\":439571,\"journal\":{\"name\":\"2008 IEEE Workshop on Applications of Computer Vision\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Workshop on Applications of Computer Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WACV.2008.4544016\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Workshop on Applications of Computer Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WACV.2008.4544016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online/Realtime Structure and Motion for General Camera Models
This paper presents a novel algorithm for online structure and motion estimation. The algorithm works for general camera models and minimizes object space error, it does not rely on gradient-based optimization, and it is provably globally convergent. In comparison to previous work, which reports cubic complexity in the number of frames, our major contribution is a significant reduction of complexity. The new algorithm requires constant time per frame and can thus be used in online applications. Experimental results show high reconstruction accuracy with respect to simulated ground truth data. We also present two applications in artificial marker reconstruction and handheld augmented reality.
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