{"title":"遮挡条件下图像序列的分层重建","authors":"Xiaochun Lei, Shen Chen, Xiaowen Liu, Ruxiong Li","doi":"10.1109/WGEC.2009.157","DOIUrl":null,"url":null,"abstract":"Hierarchical reconstruction on image sequences is a hot issue recently. When occlusion exists, the result of reconstruction will be affected. This paper proposes an algorithm to solve the occlusion issue on image sequences. The conjugate gradient method is used to estimate the projective depth. Then the initial model is built to judge the outlier. Meanwhile the final result is built with effective value. The method is proved to be feasible according to the experiment result.","PeriodicalId":277950,"journal":{"name":"2009 Third International Conference on Genetic and Evolutionary Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hierarchical Reconstruction on Image Sequences under Occluded Condition\",\"authors\":\"Xiaochun Lei, Shen Chen, Xiaowen Liu, Ruxiong Li\",\"doi\":\"10.1109/WGEC.2009.157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hierarchical reconstruction on image sequences is a hot issue recently. When occlusion exists, the result of reconstruction will be affected. This paper proposes an algorithm to solve the occlusion issue on image sequences. The conjugate gradient method is used to estimate the projective depth. Then the initial model is built to judge the outlier. Meanwhile the final result is built with effective value. The method is proved to be feasible according to the experiment result.\",\"PeriodicalId\":277950,\"journal\":{\"name\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Third International Conference on Genetic and Evolutionary Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WGEC.2009.157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Third International Conference on Genetic and Evolutionary Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WGEC.2009.157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hierarchical Reconstruction on Image Sequences under Occluded Condition
Hierarchical reconstruction on image sequences is a hot issue recently. When occlusion exists, the result of reconstruction will be affected. This paper proposes an algorithm to solve the occlusion issue on image sequences. The conjugate gradient method is used to estimate the projective depth. Then the initial model is built to judge the outlier. Meanwhile the final result is built with effective value. The method is proved to be feasible according to the experiment result.
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